Databricks Lakehouse Lead: Architect, ML & Delivery

Capgemini; Województwo mazowieckie; Vor Ort; PLN 320.000 - 520.000; Vollzeit

Benefits dieser Stelle

Yearly bonus

Private medical care

Life insurance

Training programs

Hybrid work model

Zusammenfassung

Capgemini Invent in Poland seeks a senior Databricks leader to own lakehouse architectures, guide end-to-end migrations, and steer a growing team of engineers across Azure, AWS and GCP. You will design workspace and Unity Catalog, drive cost optimization, set engineering standards, and present architectural choices and estimates to client executives.

Fluent English and 8+ years in data engineering required; experience in financial services or public sector is desirable.

Qualifikationen

• 8+ years in data engineering or data architecture with leadership.
• Proven delivery of at least two production lakehouse platforms end to end.
• Hands-on knowledge of Spark, Delta Lake, Unity Catalog, Lakeflow pipelines and jobs, Databricks SQL and MLflow; Terraform and Databricks Asset Bundles; CI/CD.
• Strong on one cloud (Azure preferred) and able to work on AWS or GCP.
• Experience with performance tuning and cost optimization of Databricks workloads; analytics and ML workloads are a plus.
• Databricks Certified Data Engineer Professional; additional certifications are a plus.
• Presales experience: solution design, estimation and client presentations; fluent English.
• Experience leading and developing engineers; highly desirable in financial services, energy, pharma or public sector.

Aufgaben

• Own the lakehouse architecture on client engagements: account and workspace design, networking and identity.
• Lead Databricks programmes end to end: migrations, lakehouse builds, platform hardening and cost reviews; set standards.
• Deliver data engineering, analytics and ML on the platform: ingestion, pipelines, Databricks SQL and AI/BI, MLflow and Mosaic AI.
• Lead and grow the Databricks engineering team: hiring, coaching, certification plan.
• Run the technical side of bids: solution design, estimates, proofs of concept, sizing and cost models.
• Ensure governance designs land in the platform: Unity Catalog access, lineage, data quality and model governance.
• Build reusable assets and stay aligned with the Databricks roadmap.

Jobbeschreibung

Capgemini Invent in Poland seeks a senior Databricks leader to own lakehouse architectures, guide end-to-end migrations, and steer a growing team of engineers across Azure, AWS and GCP. You will design workspace and Unity Catalog, drive cost optimization, set engineering standards, and present architectural choices and estimates to client executives.

Fluent English and 8+ years in data engineering required; experience in financial services or public sector is desirable.