Databricks Data Engineer – Sales Incentive Compensation | New York, NY

Databricks Data Engineer – Sales Incentive Compensation

📍 Location: New York, New York
🏢 Work Arrangement: Hybrid
📄 Contract Length: Six Months
💰 Hourly Rate: Approximately $75 per hour
💼 Employment Type: Contract
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
🏦 Industry: Insurance and Financial Services

Build the Data Infrastructure Behind Enterprise Sales Compensation

A leading global organization is seeking an experienced Databricks Data Engineer to design, develop and optimize enterprise data solutions supporting analytics, performance reporting and Sales Incentive Compensation.

This is not purely a pipeline-development position. The successful candidate will combine strong Databricks engineering expertise with an understanding of incentive compensation processes, including quota allocation, attainment calculations, commission processing and payout reporting.

You will work closely with Sales Operations, Finance, Business Intelligence and technology teams to translate complex business rules into scalable, accurate and auditable data solutions.

Why This Opportunity Stands Out

This opportunity will allow you to:

• Own the design and development of enterprise Databricks solutions

• Influence the wider Databricks architecture and technical roadmap

• Build data pipelines supporting business-critical compensation processes

• Work with Delta Lake, Delta Live Tables, Unity Catalog and Databricks Workflows

• Translate complex incentive-plan rules into reliable transformation logic

• Improve automation, integration, data quality and platform performance

• Partner directly with senior Finance, Sales Operations and technology stakeholders

• Deliver solutions that directly influence commission and compensation accuracy

What You’ll Be Doing

Databricks Architecture and Engineering

• Design, develop and implement scalable Databricks-based data solutions

• Build and maintain data pipelines supporting ingestion, transformation, reporting and analytics

• Develop data models, Delta Lake tables, notebooks and reporting datasets

• Take ownership of the overall Databricks architecture

• Ensure new pipelines and enhancements integrate effectively with existing workflows

• Maintain and optimize Databricks workspaces, pipelines and orchestration processes

• Identify opportunities to improve automation, performance and data integration

• Design reliable ETL and ELT processes across multiple enterprise data sources

Sales Incentive Compensation

• Build data pipelines supporting Sales Incentive Compensation processes

• Translate incentive-plan rules into accurate and auditable data transformations

• Support quota allocation and quota-management processes

• Develop logic for attainment tracking and performance calculations

• Support commission calculations and payout processing

• Produce reliable datasets for compensation reporting and reconciliation

• Work closely with Sales Operations and Finance to understand plan structures and business rules

• Ensure calculation logic is transparent, documented and capable of being audited

• Integrate incentive-compensation platforms with enterprise data and analytics solutions

Performance and Data Quality

• Test, debug and optimize Databricks pipelines and notebooks

• Investigate and resolve data-quality, performance and integration issues

• Improve the reliability and efficiency of existing workflows

• Implement appropriate controls and validation processes

• Monitor data pipelines and troubleshoot failures or inconsistencies

• Deliver a high-quality experience for analysts and other data consumers

Stakeholder and Technical Collaboration

• Work with business stakeholders to understand complex data requirements

• Translate functional requirements into scalable technical architectures

• Challenge requirements constructively when a more effective solution is available

• Partner with Finance, Sales Operations, IT and Business Intelligence teams

• Provide technical support to analysts and end users

• Communicate technical concepts clearly to both technical and non-technical audiences

• Manage multiple priorities within a fast-paced enterprise environment

Documentation and Platform Development

• Document data architectures, models, pipelines and configuration decisions

• Produce clear technical specifications and development documentation

• Maintain documentation to support knowledge transfer and long-term platform ownership

• Stay current with Databricks capabilities and platform enhancements

• Identify opportunities to use features such as Unity Catalog, Delta Live Tables and Photon

What You’ll Bring

Essential Databricks and Data Engineering Experience

• At least seven years of professional data-engineering experience

• A minimum of three years of hands-on Databricks experience

• Extensive experience building and managing production Databricks solutions

• Strong knowledge of:

• Delta Lake

• Delta Live Tables

• Unity Catalog

• Databricks Workflows

• Databricks notebooks and workspaces

• Advanced proficiency in Python and/or Scala

• Strong SQL development expertise

• Experience with data ingestion, transformation, ETL/ELT and data modelling

• Experience designing and orchestrating enterprise data pipelines

• Strong understanding of data quality, scalability and performance optimization

Sales Incentive Compensation Experience

• Functional and technical experience with Sales Incentive Compensation processes

• Understanding of incentive-plan design and compensation rules

• Experience supporting quota allocation and management

• Knowledge of sales-attainment calculations

• Experience with commission calculation and payout processing

• Ability to model complex incentive rules within data pipelines and transformation logic

• Experience partnering with Sales Operations and Finance stakeholders

Cloud and Integration Experience

• Experience integrating Databricks with at least one major cloud platform:

• Microsoft Azure

• Amazon Web Services

• Google Cloud Platform

• Experience working with integration and ingestion technologies such as:

• Azure Data Factory

• Azure Event Hubs

• Apache Kafka

• Comparable cloud-based data-integration tools

• Ability to create holistic, end-to-end data solutions rather than isolated pipelines

Professional Capabilities

• Strong stakeholder-management and consulting skills

• Ability to translate complex business requirements into scalable data architectures

• Excellent analytical and problem-solving capabilities

• Strong written and verbal communication skills

• Ability to work effectively with cross-functional teams

• Resourceful and comfortable working with minimal direction

• Strong technical-documentation skills

• Ability to manage competing priorities and deadlines

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology or a related discipline

Preferred Experience

• Experience integrating Databricks with platforms such as:

• Anaplan

• Oracle Incentive Compensation

• Varicent

• Comparable Sales Performance Management platforms

• Databricks Certified Data Engineer Associate certification

• Databricks Certified Data Engineer Professional certification

• Experience using Photon to improve query and workload performance

• Previous experience within insurance, financial services or another large regulated enterprise

• Experience delivering auditable financial or compensation-related data solutions

The Ideal Candidate

The ideal candidate will be an experienced Databricks engineer who understands that compensation data requires exceptional accuracy, traceability and control.

You will be comfortable moving between detailed technical development and strategic conversations with Finance, Sales Operations and technology leaders. You should be willing to challenge requirements constructively, propose stronger architectural solutions and take ownership of delivery from initial design through testing, deployment and production support.

Most importantly, you will be able to combine enterprise data-engineering expertise with a practical understanding of how incentive plans, quotas, attainment calculations, commissions and payouts operate.

Contract Details

• Initial Contract: Six months

• Hourly Rate: Approximately $75 per hour

• Location: New York, New York

• Working Arrangement: Hybrid

• Visa Sponsorship: Not available

• Relocation Assistance: Not available

Ready to Build Business-Critical Data Solutions?

If you have deep Databricks expertise and experience translating complex Sales Incentive Compensation processes into scalable, accurate and auditable data solutions, this position offers the opportunity to make an immediate impact within a major enterprise environment.

Senior Technical Lead, Enterprise Risk Architecture – McLean, VA

Senior Technical Lead, Architecture – Enterprise Risk Delivery

📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus

Overview

A leading financial services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise risk technology initiatives.

This Director-level individual contributor role is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.

Key Responsibilities

Enterprise Solution Architecture

• Design enterprise-scale, secure, and scalable solution architectures.

• Define architectural blueprints and implementation roadmaps.

• Establish architecture standards, design patterns, and best practices.

• Ensure long-term scalability, maintainability, and resilience of enterprise platforms.

Technical Leadership

• Provide technical leadership across engineering, architecture, and product teams.

• Mentor engineering teams and influence technical direction.

• Conduct architecture reviews and provide guidance on complex technical decisions.

• Balance innovation, delivery speed, and technical debt.

Enterprise Risk Technology

• Deliver technology solutions supporting:

• Financial Risk

• Non-Financial Risk

• Financial Crimes

• Regulatory Compliance

• Enable enterprise data integration and risk analytics.

• Support regulatory compliance through modern technology solutions.

Cloud & Modern Engineering

• Architect cloud-native enterprise solutions.

• Drive modernization initiatives across distributed systems.

• Lead API-first, microservices-based architecture strategies.

• Support enterprise AI and Generative AI initiatives.

Stakeholder Collaboration

• Partner with business leaders to translate requirements into technical solutions.

• Collaborate with enterprise architecture, security, data, and engineering organizations.

• Influence executive stakeholders through clear technical communication.

• Evaluate emerging technologies aligned with strategic business goals.

Required Qualifications

Education

• Bachelor's Degree in Computer Science, Engineering, or a related discipline.

• Master's Degree preferred.

Experience

✔ 10+ years of software engineering experience.

✔ 8+ years in architecture or senior technical leadership.

✔ 15+ years of overall technology experience preferred.

✔ Experience leading large-scale enterprise architecture initiatives.

✔ Experience within highly regulated industries such as:

• Financial Services

• Banking

• Mortgage

• Healthcare

Technical Expertise

Enterprise Architecture

• Solution Architecture

• Enterprise Architecture

• Microservices Architecture

• API Design & Integration

• Integration Patterns

• Micro Frontends

• Twelve-Factor Application Design

Cloud Platforms

• AWS (Preferred)

• Microsoft Azure

• Google Cloud Platform (GCP)

Modern Technologies

• Kubernetes

• Kafka

• Java

• Python

• Angular

DevOps & Engineering

• CI/CD

• DevOps Practices

• Agile Methodologies

• Enterprise Platform Engineering

Artificial Intelligence

• Generative AI (GenAI)

• AI Solution Design

• Enterprise AI Integration

Preferred Qualifications

• Experience within the mortgage or housing finance industry.

• Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).

• Experience leading enterprise digital transformation initiatives.

• Background in enterprise data platforms and analytics.

• Experience supporting regulatory technology solutions.

Must-Have Skills

Architecture

• Enterprise Solution Architecture

• Cloud Architecture

• Microservices

• API Architecture

• Enterprise Integration

Cloud & Infrastructure

• AWS (Preferred)

• Azure or GCP

• Kubernetes

• Kafka

Development

• Java

• Python

• Angular

Leadership

• Technical Leadership

• Enterprise Strategy

• Executive Communication

• Cross-Functional Collaboration

• Architecture Governance

Modern Engineering

• CI/CD

• DevOps

• Agile Delivery

• AI / GenAI

Screening Questions

1. Do you have at least 10 years of hands-on software engineering experience?

2. Do you have 8 or more years of experience in solution architecture or technical leadership?

3. Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?

4. Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?

5. Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?

6. Do you have experience implementing or architecting Generative AI or AI-enabled solutions?

7. Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?

8. Have you led enterprise transformation or modernization initiatives?

9. Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?

10. Are you comfortable working onsite in McLean, VA with limited remote flexibility?

Ideal Candidate Profile

The ideal candidate will:

• Be an experienced enterprise architect with deep technical expertise.

• Have successfully led architecture strategy across complex enterprise environments.

• Possess extensive cloud architecture experience, particularly with AWS.

• Demonstrate expertise in modern software engineering, APIs, and microservices.

• Have experience delivering technology within highly regulated industries.

• Be comfortable influencing executives and senior business stakeholders.

• Mentor engineering teams while remaining hands-on with architectural decision-making.

• Drive innovation through cloud modernization, DevOps, and AI technologies.

Candidate Snapshot

Requirement

Details

Experience

15+ Years Overall Technology Experience

Leadership

Director-Level Individual Contributor

Architecture

Enterprise Solution Architecture

Cloud

AWS (Preferred), Azure, GCP

Technologies

Kubernetes, Kafka, Java, Python, Angular

Engineering

Microservices, APIs, DevOps, CI/CD

Industry

Financial Services / Highly Regulated Environment

AI

GenAI & Enterprise AI Solutions

Location

McLean, VA

Work Arrangement

Primarily Onsite (Up to 6 Remote Weeks Per Year)

Compensation

$210K – $230K + Bonus

Relocation

Available for Exceptional Candidates

What Makes Someone Successful in This Role?

• Deep expertise in enterprise architecture and cloud-native solution design.

• Strong leadership while operating as a hands-on technical contributor.

• Ability to translate complex business challenges into scalable technical solutions.

• Experience driving enterprise modernization and digital transformation.

• Strong understanding of risk, compliance, and secure architecture within regulated industries.

• Exceptional communication skills with both executive leadership and engineering teams.

• Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.

Principal, Platform Engineering – Databases – Atlanta, GA (Hybrid)

Principal, Platform Engineering – Databases

📍 Location: Atlanta, GA (Hybrid – 3 Days Onsite / 2 Days Remote)
🏢 Industry: Information Technology / Enterprise Platforms
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: None
💰 Compensation: $144,000 – $210,000 Base Salary

Overview

A global enterprise is seeking a Principal, Platform Engineering – Databases to serve as the technical authority responsible for enterprise database architecture, strategy, standards, and platform engineering initiatives.

This role will lead the design, implementation, optimization, and governance of complex database environments while providing technical leadership across engineering teams. The successful candidate will act as the organization's database subject matter expert, driving platform reliability, scalability, security, and modernization efforts across a highly complex global environment.

This is a hands-on technical leadership position rather than a people-management role.

Key Responsibilities

Database Strategy & Leadership

• Define enterprise database standards, governance, and best practices.

• Develop long-term database technology roadmaps.

• Evaluate emerging database technologies and modernization opportunities.

• Serve as the primary database subject matter expert across the organization.

• Mentor engineers and provide technical leadership across platform teams.

Database Architecture & Design

• Design conceptual, logical, and physical data models.

• Architect scalable enterprise database solutions.

• Design, implement, and maintain complex relational database systems.

• Ensure database environments meet performance, security, and scalability requirements.

• Lead database architecture reviews and strategic design decisions.

Platform Engineering

• Design and develop enterprise platform solutions supporting critical business applications.

• Improve database deployment, automation, and operational processes.

• Drive continuous improvement initiatives across database engineering functions.

• Support CI/CD and platform modernization initiatives.

Performance, Reliability & Support

• Lead troubleshooting of highly complex database and platform issues.

• Ensure minimal downtime and rapid issue resolution.

• Develop monitoring, optimization, and performance improvement strategies.

• Establish documentation standards and operational procedures.

Collaboration & Technical Influence

• Partner with architects, engineers, product teams, and business stakeholders.

• Lead technical discussions with both technical and non-technical audiences.

• Provide strategic guidance on enterprise data and platform initiatives.

Required Qualifications

Experience

✔ 10+ years of database engineering, architecture, or platform engineering experience.

✔ Experience defining:

• Database standards

• Technology roadmaps

• Database governance frameworks

• Long-term platform strategies

✔ Experience mentoring engineers and providing technical leadership.

Technical Expertise

Oracle Database

• Expert-level Oracle Database administration and architecture.

• Advanced SQL expertise.

• Database performance tuning and optimization.

• Database security and scalability.

Data Architecture

• Conceptual data modeling.

• Logical data modeling.

• Physical data modeling.

• Enterprise database design principles.

Platform Engineering

• Complex relational database systems.

• Enterprise-scale environments.

• Documentation and operational standards.

• Continuous improvement initiatives.

Must-Have Skills

Database Technologies

• Oracle Database

• SQL

• Relational Database Design

• Database Architecture

• Data Modeling

Leadership & Strategy

• Technology Roadmaps

• Database Governance

• Technical Mentorship

• Enterprise Standards Development

• Continuous Improvement

Engineering

• Performance Optimization

• Scalability Planning

• Security Architecture

• Troubleshooting & Root Cause Analysis

Screening Questions

1. Have you defined enterprise database standards, technology roadmaps, and long-term database strategies?

2. Do you have professional experience creating conceptual, logical, and physical data models for enterprise systems?

3. Have you designed, implemented, and managed complex relational database environments focused on performance, scalability, and security?

4. Do you possess expert-level Oracle Database and SQL expertise?

5. Do you have experience designing, maintaining, and modernizing enterprise database architectures?

6. Are you legally authorized to work in the United States without requiring current or future visa sponsorship?

Ideal Candidate Profile

The ideal candidate will be a highly technical database architect who:

• Serves as the go-to expert for Oracle database technologies.

• Has led database strategy and governance initiatives within large global enterprises.

• Possesses deep expertise in enterprise database architecture and relational data modeling.

• Can influence both technical and business stakeholders.

• Enjoys mentoring engineers and raising technical standards across teams.

• Has experience operating within highly complex, mission-critical environments.

• Drives modernization, automation, and continuous improvement initiatives.

Candidate Snapshot

Requirement

Details

Experience

10+ Years Database Engineering / Architecture

Database Expertise

Oracle DB & SQL (Expert Level)

Architecture

Conceptual, Logical & Physical Data Modeling

Leadership

Technical Leadership & Mentorship

Industry

Enterprise IT / Platform Engineering

Location

Atlanta, GA (Hybrid)

Compensation

$144K – $210K

Visa Sponsorship

Not Available

Relocation

Not Available

What Makes Someone Successful in This Role?

• Deep Oracle database expertise.

• Strong enterprise architecture and data modeling skills.

• Ability to define standards and long-term technology direction.

• Proven success leading complex database modernization efforts.

• Strong communication skills with both business and technical stakeholders.

• Passion for mentoring engineers and improving engineering practices.

• Ability to balance strategic thinking with hands-on technical execution.

Lead Data Scientist | Houston, TX | $125K–$140K + Equity + Hybrid Flexibility

Lead Data Scientist

Location: Houston, TX (Onsite)
Level: Senior
Reports To: Director of Data Science
Salary Range: $125,000 – $140,000 (USD)
Benefits: Medical, Dental, Vision, Life Insurance, Retirement, Equity, Paid Time Off, Work From Home Flexibility

About the Role

We are seeking a Lead Data Scientist to spearhead transformative projects that drive impact across the organization. This is a hands-on leadership role where you’ll design advanced models, mentor a team of talented data scientists, and partner with senior stakeholders to solve complex challenges. If you thrive at the intersection of technology, business strategy, and innovation, this role offers the perfect platform to showcase your expertise.

What You’ll Do

• Lead high-visibility projects that directly influence business strategy and decision-making.

• Develop and deploy custom algorithms, models, and predictive analytics that unlock value from complex data sets.

• Translate technical insights into clear, compelling stories for executive-level audiences.

• Mentor and coach junior data scientists, elevating the technical capabilities of the team.

• Research and implement cutting-edge machine learning techniques to improve operational performance.

• Partner with cross-functional teams to identify opportunities, resolve data challenges, and optimize processes.

• Stay at the forefront of emerging tools and vendors, recommending best-fit solutions.

What You Bring

• 7+ years of professional experience in data science, with proven project leadership.

• Strong background in machine learning, advanced statistical modeling, and SQL database management.

• Experience in healthcare data, EHR systems, or financial/revenue cycle data preferred.

• Demonstrated ability to design scalable solutions using AWS (certification required).

• Hands-on expertise in Cogito and other data management platforms.

• Exceptional communication skills – able to engage both technical teams and executive stakeholders.

• A problem-solving mindset with the ability to thrive in fast-paced, multidisciplinary environments.

Interview Process

1. Recruiter Interview

2. Hiring Manager Interview

3. Panel Interview

Why Join Us?

Here, your work won’t just be about numbers – it will be about impact. You’ll have the chance to combine advanced data science with real-world problem solving, shaping decisions that matter.

We celebrate growth, encourage innovation, and foster a culture of collaboration. You’ll be supported by mentors, inspired by peers, and empowered to chart your own career path. Our workplace has been consistently recognized as one of the Top Workplaces in the region, a testament to our values-driven culture and commitment to meaningful work.

Benefits at a Glance

• Comprehensive medical, dental, and vision insurance

• Life insurance and retirement plans

• Equity opportunities

• Generous paid time off

• Flexible work-from-home options

CRM / Salesforce Solution Architect – Health Cloud & OmniStudio | Patient Support Services | $150K–$175K | Morristown, NJ or Cambridge, MA

CRM/Salesforce Solution Architect – Patient Support Services – Health Cloud/Omnistudio

📍 Location: Morristown, NJ (Hybrid – 3 Days Onsite) or Cambridge, MA
💼 Employment Type: Full-Time
💲 Salary Range: $150,000 – $175,000 USD (commensurate with experience)
🎁 Benefits: Full healthcare, wellness programs, generous parental leave, retirement plans, and career development opportunities
🚚 Relocation: Not available
🛂 Visa Sponsorship: Not available
✈️ Travel: Occasional

Architect the Future of Patient Experience

If you’re a Salesforce CRM expert passionate about improving lives through better healthcare technology, this role offers the perfect opportunity to combine technical mastery with meaningful impact. As a CRM Solution Architect for Patient Support Services, you’ll design, lead, and deliver enterprise-grade solutions that transform how patients connect, receive care, and stay engaged throughout their healthcare journey.

In this high-visibility role, you’ll collaborate across business, technology, and partner teams to ensure solutions are scalable, secure, and fully aligned with organizational goals—while making a measurable difference for patients.

What You’ll Do

• Lead Solution Design – Architect and implement Salesforce Health Cloud solutions for large-scale Patient Support Programs (PSPs)

• Enhance Patient Journeys – Define technology strategies for case management, engagement tools, and integrated partner services (e.g., benefits verification, co-pay programs)

• Integrate & Optimize – Oversee integrations with platforms such as Snowflake, Informatica, AWS S3, and Python-based services

• Drive Best Practices – Ensure architecture aligns with enterprise standards, compliance requirements (HIPAA, GDPR, GxP), and security protocols

• Proof of Concept Leadership – Run PoCs to validate solution feasibility, presenting findings to stakeholders

• Improve Performance – Streamline architecture for reusability, scalability, and cost efficiency

• Collaborate Globally – Work closely with enterprise architects, cross-functional teams, and project managers to deliver robust, compliant solutions

• Documentation & Roadmaps – Maintain architecture diagrams, solution blueprints, and technology roadmaps

What You Bring

Must-Have Qualifications

• 5+ years architecting Salesforce solutions with a focus on OmniStudio

• Proven track record in Salesforce Health Cloud design and implementation

• Strong experience with Integration Procedures, OmniScripts, and Data Raptors

• In-depth understanding of FHIR data integrations, data privacy, and consent management

• Bachelor’s degree in a relevant field

• Exceptional communication skills for both technical and non-technical audiences

• Knowledge of encryption, data masking, and anonymization techniques

• Agile methodology experience and ability to work across global time zones

Preferred Experience

• Salesforce certifications (Application Architect, System Architect)

• Exposure to Marketing Cloud, Veeva, Service Cloud Voice, Advanced Therapy Management

• Familiarity with AWS, Azure, Snowflake, Tableau, PowerBI, AI/ML solutions

• Experience with DevOps tools like AutoRabbit, GitHub, Terraform

• Background in life sciences or pharma data architecture

Why You’ll Love This Role

• 💡 Innovative Environment – Work on cutting-edge CRM and cloud solutions that directly improve patient care outcomes

• 🌍 Meaningful Impact – Your designs will help patients navigate complex healthcare systems with ease and confidence

• 📈 Career Growth – Opportunities for advancement, cross-functional projects, and skill expansion

• 🧑‍🤝‍🧑 Supportive Culture – Join a diverse, inclusive, and globally connected team

• 🏥 Comprehensive Benefits – Full healthcare coverage, wellness programs, at least 14 weeks’ gender-neutral parental leave, and retirement plans

The Ideal Candidate

You’re a hands-on Salesforce architect with deep Health Cloud and OmniStudio experience, a passion for building patient-first solutions, and the ability to work seamlessly between business requirements and technical execution.

Senior Technical Lead, Corporate Technology Strategy, Data Modeler, EBM - McLean, VA – Hybrid Working (Tues, Weds, Thurs in office) - $183,000 - $275,000

Senior Technical Lead, Corporate Technology Strategy, Data Modeler, EBM

McLean, VA – Hybrid Working (Tues, Weds, Thurs in office)
$183,000 - $275,000

At our company, you will do important work to build a better housing finance system and you’ll be part of a team helping to make homeownership and rental housing more accessible and affordable across the nation. 

Position Overview:

The Senior Technical Lead, Corporate Technology Strategy (CTS), Data Modeler, Enterprise Business Model reports to the Vice President, Corporate Technology Strategist and is responsible for leading the data modeling efforts related to the Enterprise Business Model (EBM). This role collaborates with the CTS Data Architecture Leads, Enterprise Business Model Leads, and Business-aligned Technology Office (BTO) team members across the company's business to drive the creation of the Enterprise Business Model.

Our Impact:

Acts as subject matter expert for CTS Data Architecture team in the plan, design, and delivery of IT data solutions

Drive the standardization of technical documentation supporting the Enterprise Business Model including notation, templates, and design of data structures

Your Impact:

Create appropriate technical documentation as part of work assignments, such as program code, flowcharts, and technical requirements

Perform design implementation and support of Enterprise Data Management (EDM) and data structures within all layers of the Enterprise Data Warehouse (EDW) environment

Qualifications:

·         Bachelor’s degree in computer science, information technology or related field

·         10+ years’ experience in a logical/physical data modeling, data architecture, data analysis, and data management role

·         Experience with data modeling tools like ERwin, ER/Studio or PowerDesigners

·         Experience with different query languages such as PL/SQL, T-SQL, and ANSI SQL

·         Broad understanding of structured, semi-structured, and unstructured data and message formats (such as XML, JSON, etc.)

·         Experience with database technologies such as Oracle, DB2, Sybase, PostgreSQL, Snowflake, SQL Server, or MySQL

·         Knowledge of data warehousing and business intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts

·         Keys to Success in this Role:

·         Excellent problem-solving skills and attention to detail

·         Effective communication and interpersonal skills

·         Ability to work independently and in a team environment

Today, our company makes home possible for one in four home borrowers and is one of the largest sources of financing for multifamily housing. Join our smart, creative and dedicated team and you’ll do important work for the housing finance system and make a difference in the lives of others.

We are an equal opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Time-type: Full time

FLSA Status: Exempt

Our company offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. 

This position has an annualized market-based salary range of $183,000 - $275,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.