Senior Data Architect
Tasks
Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectives
Build and optimize high‑performance data models for analytics
Act as a strategic partner to business and engineering teams to shape data solutions end‑to‑end
Lead data integration, transformation, and migration efforts
Ensure data quality, consistency, governance, and security across systems
Design efficient data pipelines and workflows for large datasets
Continuously improve our cloud data tech stack (Synapse, Databricks, ADLS, ADF)
Maintain and evolve the enterprise data model, ensuring consistency and scalability across data products
Support discovery, assessment, and solution design activities for new data initiatives
Coach and guide Data Engineers and BI Developers on best practices
Support adoption of Databricks for advanced analytics and processing
Troubleshoot complex data issues and performance bottlenecks
Define code‑quality frameworks and architecture KPIs
Requirements
Education
Degree in Computer Science, Information Systems, or similar
Experience
Deep experience designing and delivering scalable ETL/ELT processes
Strong background in cloud data platforms (Azure Synapse, Databricks, ADLS)
Hands‑on experience with data integration, modelling, migration, and performance tuning
Experience with requirements gathering, solution design, and business analysis
Comfortable with CI/CD pipelines and Azure DevOps
Ability to mentor developers and collaborate across functions and teams
Professional and Technical Competencies
Advanced SQL (optimization, tuning, complex queries)
Strong ETL knowledge (Informatica, Talend, SSIS, or similar tools)
Data modeling techniques (dimensional, star schema, snowflake)
Familiarity with Hadoop, Spark, Databricks
Knowledge of NoSQL systems (MongoDB, Cassandra)
Scripting skills in Python and/or PowerShell
Experience with Power BI, Tableau, OBIEE or similar
Familiarity with AWS, Azure, or Google Cloud data services
Understanding of data governance and quality frameworks
Experience with architecture modeling tools (e.g., Sparx EA)
Comfortable with Jira and Confluence
Soft Skills
Analytical, curious, and always eager to improve what’s already good
Able to drive consensus among technical and non‑technical stakeholders
Clear communicator who can turn complex data topics into understandable insights
Highly organized and reliable – you bring structure even when things get messy
Comfortable juggling multiple priorities in a fast‑paced environment
Strong sense of ownership and team mindset
Growth‑minded, proactive, and open to learning
Comfortable collaborating across cultures and countries
What we offer
Modern cloud‑based tech stack to work with
Collaboration with talented teams across the CEE region
Plenty of room for growth in a fast‑moving digital organization
Medicare health insurance, annual bonus, and extensive benefits
Cross‑industry exposure within MOL Group’s expanding portfolio
Regular team events and MOL family experiences