Databricks Data Platform Lead

Confidential; Lisboa; On-site; EUR 80,000 - 110,000; Full time

Job summary

Confidential in Lisbon seeks a Senior Data Platform Engineer to design and evolve a modular data platform built on Databricks. You will own ingestion, governance, data modeling, and data products, building reusable capabilities and enabling trusted data access at scale.

You will lead ingestion frameworks, implement data protection measures for GDPR compliance, and drive platform standards across CI/CD, IaC, and observability while mentoring peers.

Qualifications

• 6+ years in data engineering with production Databricks Lakehouse experience
• Strong Spark and Delta Lake experience
• Experience with Unity Catalog or equivalent
• Data anonymisation/pseudonymisation in regulated environments
• Canonical data modelling (data vault, dimensional modelling)
• APIs (REST/GraphQL) design and versioning

Responsibilities

• Develop and evolve modular ingestion patterns for batch, API-based, and event-driven sources
• Build and optimize Databricks-based data pipelines across Bronze/Silver/Gold
• Implement data governance: access controls, lineage, cataloguing, privacy compliance
• Define data quality standards, contracts, monitoring and alerting across layers
• Collaborate with domain teams to integrate source data into the canonical model
• Champion Data as a Product: discoverability, self-service, versioning, contracts
• Mentor engineers and align with governance, security and architecture teams

Job description

Confidential in Lisbon seeks a Senior Data Platform Engineer to design and evolve a modular data platform built on Databricks. You will own ingestion, governance, data modeling, and data products, building reusable capabilities and enabling trusted data access at scale.

You will lead ingestion frameworks, implement data protection measures for GDPR compliance, and drive platform standards across CI/CD, IaC, and observability while mentoring peers.