Databricks Lakehouse Lead & Platform Architect

Capgemini; Polska; Hybrid; PLN 450,000 - 650,000; Full time

Benefits offered by this job

Yearly bonus

Private medical care

Life insurance

Training & certification tracks (70+)

Hybrid working model

Job summary

Capgemini Polska is seeking an experienced Databricks Lead to own lakehouse architecture across client engagements. You will lead a growing Databricks engineering team, drive end-to-end programs from migrations to greenfield lakehouses, and manage bids with cost models and architecture presentations.

The role requires 8+ years in data engineering/architecture, 4+ years on Databricks, and strong leadership and presales skills.

Qualifications

• 8+ years in data engineering or data architecture.
• At least 4 years on Databricks platforms.
• Experience leading engineers or delivery teams.
• Databricks certification or equivalent accreditation preferred.
• Presales experience: design, estimation & client presentations.
• Fluent English; experience in financial services, energy, pharma or public sector desirable.

Responsibilities

• Own lakehouse architecture on client engagements: design, networks, Unity Catalog, data model, compute and cost.
• Lead Databricks programmes end to end: migrations, greenfield builds, cost reviews.
• Deliver data engineering, analytics and ML on the platform; optimize performance and cost.
• Grow and mentor the Databricks engineering team; coaching and staffing.
• Lead bids: solution design, sizing, cost models; present to executives.
• Ensure governance designs land in the platform (access, lineage, quality).
• Create reusable assets: reference architectures, playbooks, and governance patterns.
• Align with Databricks roadmap: decide adoption for clients.

Skills

Databricks

Spark

Delta Lake

Unity Catalog

Lakeflow

MLflow

Terraform

CI/CD

Pre-sales

Education

Databricks Certified Data Engineer Professional

Tools

Terraform

Databricks Asset Bundles

Lakeflow pipelines

Job description

Capgemini Polska is seeking an experienced Databricks Lead to own lakehouse architecture across client engagements. You will lead a growing Databricks engineering team, drive end-to-end programs from migrations to greenfield lakehouses, and manage bids with cost models and architecture presentations.

The role requires 8+ years in data engineering/architecture, 4+ years on Databricks, and strong leadership and presales skills.