AstraZeneca

2 days ago

Principal Data Product Engineer — Data Ontology & Metadata

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Build a semantic data backbone for the Product Development & Clinical Supply organization by designing ontologies, vocabularies, and metadata models. Define data contracts and canonical schemas, enforce lineage/provenance and data quality rules, and create reference implementations integrated with Databricks on AWS and enterprise catalogs. Curate governed, discoverable data products for downstream ML feature stores, lead standards forums, and coordinate bidirectional alignment across the Alexion Data Office, Alexion IT, and lab automation teams.

Location: Ireland

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Design ontologies and metadata models for key lab and automation domains with governance, versioning, and change control.
•Define and publish data contracts and canonical schemas, embed standards into ingestion/validation/transformation, and enforce lineage/provenance and data quality rules.
•Build reference implementations (schema registry, conformance tests, enrichment services) integrated with Databricks on AWS and enterprise catalogs; align with ELN/LIMS/SDMS connectors.
•Curate governed data products (consistent entities/relationships) enabling self-service discovery and downstream ML feature store usage.
•Lead cross-functional standards forums and serve as primary liaison to the Alexion Data Office and Alexion IT for data standards, catalogs, and governance tooling.

Travel: Medium travel

Key Requirements

•PhD + 4 years, or MS + 8 years, or BS + 12 years in Computer Science, Information Systems, Data Engineering, or related, including 7+ years of hands-on data modeling, ontology, and metadata engineering in production pipelines.
•Demonstrated skills in semantic modeling, schema design, data contracts, lineage/provenance, and data quality frameworks/governance tooling.
•Proficiency in Python/SQL for implementation and validation.
•Strong cross-functional communication and ability to drive consensus across data, IT, and laboratory stakeholders.
•Ability to travel to New Haven, CT about 4x/year (2–4 weeks per trip) and work in/near lab or manufacturing environments as needed.

Experience:4+ years

Education:PhD / Doctorate

Skills:Cross-functional communicationConsensus-buildingData governance awarenessData quality focus

Tech Stack:PythonSQLDatabricksAWSLakehouseSchema registryELNLIMSSDMSML feature storesData contractsData ingestionData validationData transformation

Company Brief

AstraZeneca

Global biopharmaceutical company discovering, developing and commercializing prescription medicines across oncology, cardiovascular, renal & metabolism, respiratory, and immunology, focused on innovative therapies and vaccines to improve patient outcomes worldwide.

Industry: Pharmaceuticals

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1999

Glassdoor: 3.8

Website LinkedIn

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AstraZeneca

2 days ago

Principal Data Product Engineer — Data Ontology & Metadata

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 6 hours agoStatus: Live

Job Summary

Location: Ireland

Workplace: Onsite

Employment Type: Full time

Job Function: Communications, PR & Community

Seniority: Mid level

Key Responsibilities

•Design ontologies and metadata models for key lab and automation domains with governance, versioning, and change control.
•Define and publish data contracts and canonical schemas, embed standards into ingestion/validation/transformation, and enforce lineage/provenance and data quality rules.
•Build reference implementations (schema registry, conformance tests, enrichment services) integrated with Databricks on AWS and enterprise catalogs; align with ELN/LIMS/SDMS connectors.
•Curate governed data products (consistent entities/relationships) enabling self-service discovery and downstream ML feature store usage.
•Lead cross-functional standards forums and serve as primary liaison to the Alexion Data Office and Alexion IT for data standards, catalogs, and governance tooling.

Travel: Medium travel

Key Requirements

•PhD + 4 years, or MS + 8 years, or BS + 12 years in Computer Science, Information Systems, Data Engineering, or related, including 7+ years of hands-on data modeling, ontology, and metadata engineering in production pipelines.
•Demonstrated skills in semantic modeling, schema design, data contracts, lineage/provenance, and data quality frameworks/governance tooling.
•Proficiency in Python/SQL for implementation and validation.
•Strong cross-functional communication and ability to drive consensus across data, IT, and laboratory stakeholders.
•Ability to travel to New Haven, CT about 4x/year (2–4 weeks per trip) and work in/near lab or manufacturing environments as needed.

Experience:4+ years

Education:PhD / Doctorate

Skills:Cross-functional communicationConsensus-buildingData governance awarenessData quality focus

Tech Stack:PythonSQLDatabricksAWSLakehouseSchema registryELNLIMSSDMSML feature storesData contractsData ingestionData validationData transformation

Company Brief

AstraZeneca

Industry: Pharmaceuticals

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United Kingdom

Founded: 1999

Glassdoor: 3.8

Website LinkedIn