Cloud Data Architect | AWS & Snowflake | Ridgefield, CT (Hybrid) | $170K–$210K

☁️ Cloud Data Architect

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
🏢 Industry: Pharmaceutical / Biotech / Information Technology
🎓 Education: Bachelor’s degree in Computer Science, Information Technology, or related field (or 10+ years equivalent IT experience)
💼 Experience Level: Mid–Senior (7–10 years)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $170,000 – $210,000 base salary + benefits + potential performance bonus
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Join a global leader in life sciences as a Cloud Data Architect, driving innovation and digital transformation within the Enterprise Data, AI & Platforms organization.

In this role, you’ll design and implement scalable, secure, and intelligent cloud-based data architectures that power analytics, AI, and digital products across the business. You’ll partner with data leaders, business stakeholders, and cross-functional technology teams to shape how data is collected, managed, and transformed into actionable insights.

If you’re passionate about modern data ecosystems, cloud architecture, and leveraging AI-driven solutions to impact patient outcomes — this is an opportunity to make a global difference.

🧭 Key Responsibilities

• Design and implement efficient, scalable cloud-based data architectures that align with business and technology goals.

• Develop and optimize data models, schemas, and database designs supporting structured and unstructured data.

• Collaborate with business stakeholders, data domain owners, and data scientists to define data requirements and implement robust solutions.

• Lead data modernization projects and support cloud migration strategies using AWS technologies.

• Partner with governance teams to establish and maintain data policies, access frameworks, and sharing standards.

• Enhance data pipelines for ingestion, transformation, and integration of diverse datasets across domains.

• Provide technical leadership and mentorship to data engineering and development teams.

• Stay ahead of emerging data technologies, AI/ML innovations, and architectural best practices to drive continuous improvement.

🧠 Core Qualifications

✅ 7+ years in data management and architecture, including experience as a Data Architect.
✅ 5+ years hands-on experience with cloud platforms (AWS required) and enterprise data solutions.
✅ Proven track record leading cloud modernization or data transformation projects.
✅ Strong experience with AWS components (S3, Glue, Lambda), Snowflake, Apache Parquet, and SQL/NoSQL databases.
✅ Proficiency with ETL tools such as dbt, SnapLogic, and middleware integrations.
✅ Expertise in data modeling, data pipeline optimization, and semantic data structures.
✅ Experience developing Knowledge Graphs and semantic data models using ontologies and taxonomies.
✅ Understanding of AI/ML data pipelines, including use cases in NLP, recommendation engines, and predictive analytics.
✅ Deep knowledge of data governance, quality, and lifecycle management.
✅ Excellent communication and collaboration skills to effectively engage technical and business teams.

💡 Preferred Skills & Certifications

⭐ AWS Solutions Architect certification (Associate or Professional).
⭐ Familiarity with Innovator or similar enterprise architecture tools.
⭐ Experience within pharmaceutical or biotech industries — particularly in commercial data domains or GxP environments.
⭐ Strong analytical and problem-solving mindset, with the ability to defend and present technical design decisions.
⭐ Exposure to Agile/Scrum delivery models and distributed global teams.

💰 Compensation & Benefits

💵 Base Salary: $170,000 – $210,000 (commensurate with experience)
🎯 Bonus: Role-specific or performance-based
💎 Benefits Include:

• Comprehensive medical, dental, and vision coverage

• Paid time off, holidays, and flexible hybrid schedule

• 401(k) retirement plan with company match

• Wellness, family support, and professional development programs

• Global collaboration and mobility opportunities

🧩 Candidate Snapshot

• Experience: 7–10 years in data architecture and cloud systems

• Specialization: AWS Cloud | Data Modeling | ETL | Data Pipeline Design | Data Governance

• Certifications: AWS Solutions Architect (preferred)

• Seniority: Mid–Senior

• Work Arrangement: 2–3 days onsite in Ridgefield, CT

• Travel: Occasional

🌍 Why This Role Matters

This position sits at the heart of the company’s global data strategy — shaping how data is collected, structured, and leveraged to accelerate drug discovery, digital medicine, and patient outcomes. You’ll be part of a collaborative, innovation-driven environment where your work has a tangible impact on global healthcare advancements.

🚀 Ready to architect the future of cloud data innovation?
Join a team that’s transforming how data powers scientific breakthroughs and smarter decision-making — for patients, healthcare providers, and communities worldwide.

Risk & Governance Lead – AI & Data Governance | $150K–$165K | McLean, VA / Plano, TX / NYC (Hybrid)

Risk & Governance Lead – Investments & Capital Markets (AI & Data Governance)

📍 Location: Hybrid – 3 days onsite in McLean, VA, Plano, TX, or New York, NY
💼 Employment Type: Full-Time | Mid-Senior Level
💲 Salary Range: $150,000 – $165,000 USD (eligible for annual incentive program)
🎁 Benefits: Comprehensive total rewards package, health coverage, retirement plan, paid time off, and professional development opportunities
🚚 Relocation: Not available
🛂 Visa Sponsorship: Not available
✈️ Travel: None

Shape the Future of AI Risk & Data Governance

Are you passionate about safeguarding the responsible use of AI and ensuring the integrity of critical financial data? This is your opportunity to step into a high-impact leadership role at the intersection of risk management, data governance, and emerging technology.

As the Risk & Governance Lead for Investments & Capital Markets, you will champion data security and compliance for AI-driven models, working closely with senior leaders, technology teams, and compliance experts. Your mission: build a governance framework that balances innovation with regulatory rigor—ensuring AI and data assets are managed ethically, securely, and strategically.

Your Impact

• Partner Across the Enterprise – Work with legal, technical, and business teams to identify model data risks and influence decision-making

• Drive Risk Assessments – Evaluate and mitigate risks in divisional data management and AI initiatives

• Develop & Enforce Policies – Shape governance standards for model data in line with industry regulations and best practices

• Champion Ethical AI – Advocate for transparency, fairness, and accountability in AI model design and use

• Enhance Security – Collaborate with InfoSec teams to address vulnerabilities in model data management

• Ensure Compliance – Oversee adherence to AI and data governance policies, providing guidance and oversight

• Build Awareness – Lead training programs on AI ethics, data management, and risk best practices

• Measure What Matters – Create KPIs, KRIs, and reporting frameworks to track governance effectiveness

What You Bring

• Bachelor’s degree (or equivalent experience)

• 8+ years in relevant fields, including at least 6 years in operational risk management, compliance, or technology risk

• Strong understanding of data management best practices and AI technologies (machine learning, NLP, large language models, computer vision)

• Knowledge of regulations such as GDPR, CCPA, and industry standards (e.g., IEEE, NIST, ISO/IEC)

• Proven ability to build and maintain cross-functional relationships

• Exceptional communication skills—able to bridge technical and business audiences

Preferred:

• 2–5 years of leadership experience

• Experience with model risk management in financial services

• Familiarity with housing finance or capital markets

Why This Role?

• 💡 High-Impact Work – Influence AI governance across a major financial institution

• 🌐 Cross-Functional Exposure – Collaborate with leaders across legal, compliance, risk, and technology

• 📈 Career Development – Access to training, mentorship, and advancement opportunities

• 🏦 Mission-Driven Organization – Be part of a team making housing more accessible and affordable nationwide

The Ideal Candidate

You’re a risk leader with a passion for AI governance, a deep understanding of data security frameworks, and the ability to balance compliance with innovation. You think strategically, act decisively, and know how to turn complex governance requirements into actionable, enterprise-wide practices.