Lead Data Mesh Architect - Global Data Solutions

F. Hoffmann-La Roche AG

Warszawa

Hybrid

PLN 213,000 - 395,000

Full time

2 days ago
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Benefits offered by this job

Private healthcare
Group life insurance
Multisport
Stock purchase program

Job summary

Roche is seeking a Lead Data Solutions Architect to shape a data-driven future. Hybrid role requiring in-office presence two days per week, embedded in the Diagnostics division to build a decentralized data ecosystem and trusted data products.

You will lead cross-functional teams, drive scalable data architectures, and ensure regulatory compliance (GxP, GDPR) while mentoring engineers and delivering end-to-end data pipelines using modern tools.

Qualifications

  • Experience designing and implementing Data Mesh architectures.
  • Hands-on data modeling using Data Vault 2.0 and dimensional modeling.
  • Strong focus on data quality and observability across pipelines.
  • Ability to engage stakeholders with data-driven guidance.
  • Proven technical leadership in data engineering teams.

Responsibilities

  • Architect and drive Data Mesh architectural design and data products end-to-end.
  • Lead data product governance with access control, classification, and auditability.
  • Collaborate with data domain leads and product owners to translate requirements.
  • Direct and mentor a delivery team of external data engineers.
  • Optimize data pipelines and enterprise data modeling strategies.
  • Oversee end-to-end data workflows using Python, dbt, GitLab CI/CD, Talend and APIs.

Skills

Data Mesh
Snowflake
Data Vault 2.0
Python
dbt
GitLab CI/CD
Talend
API ingestion
Data Quality
Observability

Tools

Snowflake
Python
dbt
GitLab CI/CD
Talend

Job description

Roche is seeking a Lead Data Solutions Architect to shape a data-driven future. Hybrid role requiring in-office presence two days per week, embedded in the Diagnostics division to build a decentralized data ecosystem and trusted data products.

You will lead cross-functional teams, drive scalable data architectures, and ensure regulatory compliance (GxP, GDPR) while mentoring engineers and delivering end-to-end data pipelines using modern tools.

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