☁️ 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.