Job
- Level
- Senior
- Job Feld
- Data, Back End
- Anstellung
- Vollzeit
- Vertragsart
- Unbefristetes Dienstverhältnis
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In dieser Rolle definierst du als technische Autorität Standards und Best Practices für unsere Datenplattform, leitest die Implementierung von Datenverträgen und berätst bei der Architektur von Datenprodukten und Infrastruktur.
Job Technologien
Deine Rolle im Team
- 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.
- 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).
- Support BI teams in modeling data products within dbt and Snowflake.
- 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.
Unsere Erwartungen an dich
Qualifikationen
- 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).
- 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.
- Proven ability to translate good practice into durable, adoptable standards: style guides, testing frameworks, certification criteria, review processes.
- Comfort defining guardrails that scale across teams without becoming bottlenecks.
- 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.
- Skilled at the consulting posture: advising, reviewing, and guiding without taking over.
Erfahrung
- 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.
Unser Angebot
- Work at Germany's first green unicorn - Play an active role in shaping the solar energy transition.
- The sun shines all over the world - At Enpal, you'll work with a highly motivated, diverse team of over 65 nationalities.
- The ideal setup for your focus - We are convinced that excellent results are achieved when the conditions are right.
- That's why we rely on a hybrid working concept that gives you the freedom to always work in the way that best suits your tasks.
- Do you need new inspiration on an international level? With Workflex, we offer you the opportunity to relocate abroad for up to 30 days a year, depending on your responsibilities.
- Grown-up business & startup spirit - In our modern office in Berlin-Friedrichshain, you'll find everything your heart desires, from height-adjustable desks and table tennis to stocked beverage fridges and barista coffee.
- Your kick-start at Enpal - Onboarding day with a welcome bag, buddy program, and a team that really supports you.
- Stay up to date & help shape the future - Transparent all-hands meetings, short decision-making processes, and an open feedback culture - without mistakes, there is no progress.
- The energy transition can only be achieved together - At Enpal, you can expect legendary team spirit and unforgettable team events.
- Your extra boost - 29 vacation days + one additional day off on Christmas Eve and New Year's Eve, discounted membership at Wellhub, and corporate benefits.
Benefits
Gesundheit, Fitness & Fun
Themen mit denen du dich im Job beschäftigst
Job Standorte
Das ist dein Arbeitgeber
Enpal GmbH
Enpal GmbH fokussiert sich auf die Entwicklung und Installation von Solaranlagen sowie erneuerbaren Energietechnologien und bietet umfassende Dienstleistungen in diesem Bereich an.
Description
- Unternehmenstyp
- Etablierte Firma
- Arbeitsmodell
- Hybrid, Onsite
- Branche
- Energiewirtschaft, Umwelt
Data Platform Architect
- Ort
- Berlin
- Arbeitsmodell
- Hybrid, Onsite
- Diversität
- Für alle Personen geeignet (m/w/d)
- Nur Englisch
- Nur Englisch erforderlich
