Sr Staff Engineer, Data Management (DEA)

The Data Enablement and Analytics (DEA) team, within the PAPD (Product, Analytics and Process Development) organization, is a multi-functional team that drives PAPD’s digitalization efforts by making data usable and useful!

The Data Management Architect defines and governs the end-to-end architecture of data systems that power preclinical science and operations. You will architect domain-driven data models, curated datasets, and integration patterns across data lakes, lab systems and analytical tools, while enabling self-service visualizations. You will drive data quality, lineage, metadata and data catalog standards, and platform patterns. To accomplish this, you will partner with numerous teams and departments and deliver value through Agile approaches.

A Typical Day in the Role Might Involve:

• Enterprise Data Architecture (Preclinical):
  Define data models for preclinical entities (samples, assays, lots, batches, instruments, methods), harmonized across the data ecosystem; establish golden‑record, lineage, and System or record.
• Data Platform Design:
  Partner with IT teams to continue our journey to a central data platform like the Research data lake or connected data marts. Partner with data engineering teams to design streaming and batch data flow (ETL vs ELT) patterns and deliver such solutions.
• Visualization & Semantics:
  Publish governed, analysis‑ready semantic layers and reusable data marts; define KPI/metric definitions; enable self‑service in Spotfire/Tableau with certified data sources and good performance.
• Data Management & Governance:
  Stand up data catalog/metadata standards, reference/master data strategies, quality controls, and lifecycle policies; partner with business data stewards in PAPD.
• LIMS/ELN Architecture and Solution Delivery:
  Partner with platform owners and lab teams to model experiment workflows, capture structured context at source, and ensure compliant, scalable Lab platforms like Benchling or LabWare LIMS.
• SAFe Ways of Working:
  Act as the overall product manager and program Lead – define our roadmap and continuous delivery mechanism using Scaled Agile Frameworks.
• Collaboration & Change Enablement:
  Co‑create roadmaps with PAPD functional leads and department data experts; conduct design reviews; mentor engineers and citizen developers.

Minimum Qualifications

• Education: Ph.D. with 6+ years OR Master’s with 12+ years in Computer Science, Data Science, Data Engineering, Applied Mathematics, Bioinformatics, or related discipline.
• Strong understanding of LIMS/ELN systems like Benchling, LabWare or similar is mandatory.
• Experience: 8+ years in data architecture/engineering in a scientific or manufacturing context; proven delivery in hybrid cloud/on‑prem data lakes/warehouses.
• Cloud data platforms: Expertise in AWS, Snowflake, Databricks or comparable cloud data platforms and ecosystems.
• Database Platforms: Expertise in NoSQL, in-memory, Graph and relational databases, which form the backbone of our operations.
• Tooling & Platforms: Expert in data lake architectures (curation/serving layers), metadata/catalog tools, ELT/ETL data transformation frameworks;
• Analytics Enablement: Delivered governed, reusable datasets powering visualization tools like Spotfire, Tableau or Power BI;
• Ways of Working: Working knowledge of Scaled Agile (SAFe) - backlog refinement, PI planning and release management.

Preferred Qualifications

• Experience in preclinical/bioprocess domains (samples, assays, batches, equipment, methods).
• Experience with Lab Systems for bioprocessing.  
• Prior work aligning data standards across R&D, QA, and Manufacturing (data integrity, traceability).

Core Competencies

• Build Data Architectures that span lab, data, and analytics ecosystems.
• Strong Communications
• Ability to Influence:
• Build Roadmaps.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all  qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

 

Where necessary, we disclose salary ranges for roles in all countries in which we operate.  The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits.  Regeneron offers a competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits. For additional information about Regeneron benefits in the U.S., please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/. For other locations, additional information will be provided during the recruitment process.  If you have any questions, please speak with your recruiter. 

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.

As part of the recruitment process, certain background checks may be conducted in accordance with the laws of the country where the position is based. The purpose of such checks is to verify certain information prior to the commencement of employment such as identity, right to work and educational qualifications.

For jobs in Canada: this posting is for an existing position.

Salary Range (annually)

$150,500.00 - $245,500.00