Job
- Level
- Lead
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- from 100.000 € Gross/Year
- Location
- Linz, Wels, Vienna, Berlin, Munich
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you lead a data platform team, oversee the end-to-end delivery capability of the platform, and develop standards for DWH and analytics while utilizing modern data stack technologies like Databricks and GCP.
Job Technologies
Your role in the team
- Leadership & Development of the Data Platform / DWH Team: clear roles/ownership, coaching, delivery focus, as well as support in hiring and team development.
- End-to-End responsibility for the platform's deliverability: Backlog/Ritual setup, Incident/Problem management, Release/dependency control, and transparent delivery reports.
- Define and sustainably embed architecture & standards for DWH/Lakehouse and Analytics Layer (e.g., modeling strategy, platform patterns, quality and transformation rules).
- Data Products & Data Mesh Enablement: Establish Data Product standards (documentation, Data Contracts, SLAs, Quality Gates, Ownership) and implement them with domain teams.
- Steering Platform Modernization & Transformation: roadmaps, risks, cutover/stabilization phases, security, performance, and reliability - with measurable results.
- Establish ingestion and operational patterns (Batch/Streaming), including monitoring/alerting, CI/CD, runbooks, and operational transparency (Lineage/Inventory).
- Performance & Cost Management (FinOps): Build and continuously improve capacity planning, cost models, optimization initiatives, and vendor/partner management.
- Interface management with product teams, Enterprise Architecture, Group IT, Governance, and business units: synchronize roadmaps, manage dependencies, resolve prioritization conflicts, and ensure adoption.
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Our expectations of you
Qualifications
- Experienced leadership professional in the Data Warehouse / Data Engineering environment with proven delivery responsibility (prioritization, coaching, clear outcome management).
- Strong platform and architecture background across traditional DWH architectures (e.g., dimensional modeling, ETL/ELT) and modern Lakehouse patterns (e.g., Medallion).
- Hands-on experience with modern Data Stacks: very good practice with Databricks (Spark, Workflows, CI/CD, Monitoring/Reliability) and GCP Analytics (especially BigQuery); Azure know-how is also important.
- Data Mesh and Data Product thinking are not just buzzwords for you, but practice; you are familiar with ownership, data contracts, SLAs, consumer needs, and federated governance.
- Very strong in stakeholder management: You translate requirements into roadmaps, moderate trade-offs, and keep expectations transparent - also at management/executive level.
- Governance- and compliance-oriented: you work pragmatically with Enterprise Architecture, Data Governance, as well as Data Protection/Compliance (access, classification, auditability).
- Strong communication skills & structured: clear documentation, clean problem-solving, and a high standard of data quality are part of your norm.
Experience
- Proficient in Batch and Streaming patterns, ideally including experience with Kafka environments and production pipelines (stability, observability, performance).
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What we offer
- The minimum salary for the position of Data Platform Lead (m/f/d) is €100,000.00 gross per year based on full-time employment.
- Willingness to overpay.
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Benefits
Health, Fitness & Fun
Food & Drink
Work-Life-Integration
More net
Topics that you deal with on the job
Job Locations
This is your employer
XXXldigital
Wels, Wien
Together, we at xxxldigital are working towards the future of furniture retail. Not only do we work in teams, but we also live by them - through our unity, sense of community and willingness to learn. We contribute our own ideas and actively shape the future on all digital touchpoints.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Advertising, Marketing, PR, Trade, Internet, IT, Telecommunication
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