Senior Data Platform Engineer

4 hours ago

Vilnius, Lithuania beBeeDataArchitect Full time €4,500 - €6,400
About the Role

This exciting opportunity has arisen for a Data Architect to join our team. As a key member of the IT Data & Analytics Architecture unit, you will play a pivotal role in shaping the technical vision and direction of our data assets.

As a Data Architect, you will be responsible for ensuring that our internal and external data assets are stored, moved, transformed, and exposed in a secure, governed, cost-efficient, and analytics-ready manner. This requires a deep understanding of data architecture principles, as well as excellent communication and leadership skills.

Key Responsibilities
  • Develop and continuously refine the target data-platform architecture, including data lake, data warehouse, and operational data stores aligned with enterprise architecture standards
  • Maintain current state and roadmap blueprints that cover storage, processing, metadata, security, and cost optimization
  • Help design and supervise robust, reusable pipelines for ingestion, transformation, and orchestration (Azure Data Factory / Databricks)
  • Partner with ML Engineers on Databricks MLflow, feature tables, and model deployment pipelines
  • Translate complex data platform topics into business language for non-IT stakeholders
  • Create artefacts (roadmaps, OKRs, etc.)
Data Mesh
  • Define the concept of 'data product' for the organization in line with the group strategy
  • Drive squads to build, publish, and maintain data contracts
  • Monitor data contract compatibility and breaking changes
  • Liaise data contract with Information Architects on naming, lineage, and business semantics
Technical Leadership
  • Embed with development squads as the 'data face' of architecture
  • Review designs
  • Troubleshoot issues
  • Coach engineers on patterns and anti-patterns
  • Interact with Group data architects
Benefits
  • Competitive monthly salary: 5000 - 6400 gross
  • Extra vacation days, annual bonus, great insurance benefits, discounts on products for you and your family, gifts, etc.
  • Strong company culture: knowledge sharing, company events, interesting speakers, and other inspiring initiatives
  • Career and development opportunities
  • Challenging and exciting projects with autonomy to plan own tasks
  • Job location: Vilnius or Riga (flexible hybrid work model, with our office as the main workplace)
  • Business trips to Baltic and Nordic countries
Requirements
  • Microsoft Azure: ADLS Gen2, Data Factory, Databricks (incl. Delta Lake & MLflow)
  • Relational: SQL Server
  • Search/NoSQL: Elasticsearch (index modelling, relevance tuning)
  • Programming/Scripting: Python (PySpark, Pandas, etc.) and strong SQL
  • DevOps: Git, CI-CD (Azure DevOps or GitHub Actions), Terraform
Architecture Know-How
  • Lakehouse and warehouse patterns; data-mesh/data-product thinking
  • Streaming vs batch design; micro-(and swarm-) services
  • Data modelling (star/snowflake, event-driven schemas, etc.)
Ai/Ml Collaboration
  • Feature-store design, ML-ready data curation, model observability, and MLOps principles
Communication & Leadership Skills
  • Excellent communication skills (especially in English to communicate with colleagues from different countries)
  • Ability to influence across roles—engineers, product managers, executives
  • Workshop facilitation, documentation, mentoring, and conflict resolution

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