Data Platform Architect

About the role

The Staff Data Platform Architect is a senior technical leadership role responsible for defining and governing best practices across our data platform and analytics ecosystem. You will act as a cross-functional technical authority, working closely with the Data Platform team and domain BI teams to set the standards, guardrails, and architectural direction that enable all data teams to operate at high quality and scale.

What you'll do

• Define and enforce best practices for the technical definition and implementation of data contracts, including guidance documentation and CI/CD enforcement.
• Establish best practices for the review and actualization of data contracts with data owners, keeping producers and consumers aligned.
• Drive tool selection and evolution for data developers (e.g., dbt, IDEs, AI-assisted tooling), continuously evaluating options and defining usage best practices to keep teams productive and modern.
• Set and maintain the reference data model architecture, defining where and how data should be structured across layers (e.g., ODS/bronze, marts).
• Establish best practices for model quality, code reusability, and data product certification, including SQL style guides and data testing guidelines.
• Serve as a consulting authority for the design and maintenance of data processing infrastructure (Snowflake, dbt, Airflow, dlt, Azure) and BI infrastructure (Power BI, Tableau).

What you'll need

• 7–10 years in data engineering, analytics engineering, or data platform roles, with a track record of working as a strong generalist across the modern data stack.
• Demonstrated experience setting technical standards or architecture that other engineers adopted and built on.
• Deep, hands-on expertise with dbt and a cloud data warehouse (Snowflake strongly preferred), including large or modular project structures.
• Solid command of data modeling approaches across raw, staging, and serving layers, and the trade-offs between them.
• Working knowledge of orchestration (Airflow), ingestion (dlt), cloud platform (Azure), and BI tooling (Power BI, Tableau).
• Strong written communication; able to produce documentation engineers actually read and follow.
• Ability to build consensus and drive adoption through influence, not authority, across teams with competing priorities.

Nice to have

• Experience operating in a multi-team or domain-oriented data environment (data mesh, federated ownership, or similar).
• Familiarity with data contracts, schema governance, and CI/CD enforcement for data pipelines.
• Awareness of AI-assisted developer tooling and a pragmatic, evidence-based view of where it adds value.

What they offer

• Hybrid working concept with Workflex option to relocate abroad for up to 30 days per year.
• Modern office in Berlin-Friedrichshain with height-adjustable desks, table tennis, and barista coffee.
• 29 vacation days plus additional days off on Christmas Eve and New Year's Eve.
• Discounted Wellhub membership and corporate benefits.
• Buddy program and supportive onboarding.