Senior Staff Engineer, Data Management

Reposted 10 Days Ago
Be an Early Applicant
Tarrytown, NY, USA
In-Office
151K-246K Annually
Senior level
Biotech • Pharmaceutical
The Role
The role involves defining data architectures, collaborating across teams for data governance, enabling analytics, and driving Agile practices within the context of preclinical data management.
Summary Generated by Built In

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.
  • Continuous delivery using Agile.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location.  In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.  For other countries’ specific benefits, please speak to your recruiter.
Please be advised that at Regeneron, we believe we are most successful and work best when we are together.  For that reason, many of Regeneron’s roles are required to be performed on-site.  Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.
 

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, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions.  For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process.  Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually)

$150,500.00 - $245,500.00

Top Skills

AWS
Benchling
Data Lake Architectures
Databricks
Eln
Elt
ETL
Graph Databases
Labware
Lims
Metadata/Catalog Tools
NoSQL
Power BI
Relational Databases
Snowflake
Spotfire
Tableau
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The Company
HQ: New York, New York
15,000 Employees
Year Founded: 1988

What We Do

At Regeneron we believe that when the right idea finds the right team, powerful change is possible. As we work across our expanding global network to invent, develop and commercialize life-transforming medicines for people with serious diseases, we’re establishing new ways to think about science, manufacturing and commercialization. And new ways to think about health. Connect with us so we can learn more about you, and you can learn more about our biopharmaceutical medicines. And join us, as we build a future we believe in. Please visit www.regeneron.com/social-media-terms for information on how to engage with us on social media. An important note about privacy: Regeneron is committed to your privacy and will not ask for sensitive personal information such as social security number, date of birth or bank account details via email or social media.

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