Senior Staff Engineer, Data Management
Regeneron
5 hours ago
On-site
Tarrytown, NY
IT
Responsibilities:
- Define and govern end-to-end enterprise data architecture for preclinical science and operations, including domain-driven data models and harmonized golden-record/lineage.
- Design and deliver data platform solutions (streaming and batch) toward a central data platform (e.g., research data lake/connected data marts), partnering with IT and data engineering.
- Publish governed semantic layers and reusable data marts; define KPI/metric definitions; enable self-service visualization in Spotfire/Tableau.
- Stand up data management and governance standards (data catalog/metadata, reference/master data strategies, quality controls, lifecycle policies) with business data stewards.
- Architect and deliver LIMS/ELN solutions by modeling experiment workflows, capturing structured context at source, and enabling compliant lab platforms (e.g., Benchling/LabWare).
- Serve as product/program lead for roadmap and continuous delivery using SAFe.
- Co-create roadmaps, conduct design reviews, mentor engineers and citizen developers.
Minimum Qualifications:
- Bachelor’s degree in computer science, Information Systems, Bioinformatics, Biomedical Engineering, or related field.
- Strong understanding of LIMS/ELN systems (e.g., Benchling, LabWare).
- 8+ years in data architecture/engineering in scientific or manufacturing context; proven delivery in hybrid cloud/on-prem data lakes/warehouses.
- Expertise in AWS, Snowflake, Databricks (or comparable cloud platforms).
- Expertise in NoSQL, in-memory, Graph, and relational databases.
- Expertise in data lake architectures (curation/serving layers), metadata/catalog tools, and ELT/ETL transformation frameworks.
- Delivered governed, reusable datasets for visualization tools (Spotfire/Tableau/Power BI).
- Working knowledge of Scaled Agile (SAFe) (backlog refinement, PI planning, release management).
Preferred Qualifications:
- Experience in preclinical/bioprocess domains (samples, assays, batches, equipment, methods).
- Experience with lab systems for bioprocessing.
- Experience aligning data standards across R&D, QA, and Manufacturing (data integrity, traceability).
Benefits (explicitly stated):
- Health and wellness programs (medical, dental, vision, life, disability), fitness centers, 401(k) match, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) (U.S.).
Application Instructions:
- Apply now.
- Define and govern end-to-end enterprise data architecture for preclinical science and operations, including domain-driven data models and harmonized golden-record/lineage.
- Design and deliver data platform solutions (streaming and batch) toward a central data platform (e.g., research data lake/connected data marts), partnering with IT and data engineering.
- Publish governed semantic layers and reusable data marts; define KPI/metric definitions; enable self-service visualization in Spotfire/Tableau.
- Stand up data management and governance standards (data catalog/metadata, reference/master data strategies, quality controls, lifecycle policies) with business data stewards.
- Architect and deliver LIMS/ELN solutions by modeling experiment workflows, capturing structured context at source, and enabling compliant lab platforms (e.g., Benchling/LabWare).
- Serve as product/program lead for roadmap and continuous delivery using SAFe.
- Co-create roadmaps, conduct design reviews, mentor engineers and citizen developers.
Minimum Qualifications:
- Bachelor’s degree in computer science, Information Systems, Bioinformatics, Biomedical Engineering, or related field.
- Strong understanding of LIMS/ELN systems (e.g., Benchling, LabWare).
- 8+ years in data architecture/engineering in scientific or manufacturing context; proven delivery in hybrid cloud/on-prem data lakes/warehouses.
- Expertise in AWS, Snowflake, Databricks (or comparable cloud platforms).
- Expertise in NoSQL, in-memory, Graph, and relational databases.
- Expertise in data lake architectures (curation/serving layers), metadata/catalog tools, and ELT/ETL transformation frameworks.
- Delivered governed, reusable datasets for visualization tools (Spotfire/Tableau/Power BI).
- Working knowledge of Scaled Agile (SAFe) (backlog refinement, PI planning, release management).
Preferred Qualifications:
- Experience in preclinical/bioprocess domains (samples, assays, batches, equipment, methods).
- Experience with lab systems for bioprocessing.
- Experience aligning data standards across R&D, QA, and Manufacturing (data integrity, traceability).
Benefits (explicitly stated):
- Health and wellness programs (medical, dental, vision, life, disability), fitness centers, 401(k) match, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) (U.S.).
Application Instructions:
- Apply now.