Data Platform Architect (f/m/x)

Our goal is to have a solar system on every roof, a storage unit in every house, and an electric car in every garage. Enpal makes this possible with an integrated total solution for decentralized energy—from solar systems and battery storage to wall boxes, smart meters, and heat pumps. At the heart of it all is our AI-powered platform Enpal.One+, which intelligently connects thousands of systems and efficiently optimizes electricity procurement and feed-in on the energy market.

Are you ready for solutions that are more than just a promise and bring real quality of life to thousands of households every day? What you create at Enpal will deliver clean electricity tomorrow and bring about lasting change in how we use energy.

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. Reporting to the Engineering Manager, Data Platform, this is an individual-contributor role that leads through influence and lateral collaboration rather than direct authority.

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. Your impact is measured not by what you execute day-to-day, but by how effectively you raise the bar across teams through clear standards, sound architecture, and trusted consultation.

What you'll do:

Data Contract Standards

• 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.

Tooling & Developer Experience

• 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.

Data Modeling Standards

• 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.

Advisory & Consulting

• 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).
• Support BI teams in modeling data products within dbt and Snowflake.

Scope of Influence

This role does not own day-to-day execution but sets the technical direction, standards, and guardrails for all data teams. The work manifests primarily as:

• Guidance and governance documentation
• Technical enforcement mechanisms (CI/CD, testing frameworks)
• Cross-team consultation and architectural review

Scope of Influence What you'll bring

Experience & Background

• 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.
• Experience operating in a multi-team or domain-oriented data environment (data mesh, federated ownership, or similar) is a strong plus.

Technical Depth

• 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, Tab