Senior Data Architect
Employer · MOL Group
Database administrator
Systems analystSoftware developerFull-timeBudapest, MOL Campus
At Digital Factory, we pair the agility of a startup with the scale of a global company. As part of MOL Group's 2030 Enter Tomorrow strategy, we're transforming Consumer Services into a digital-first, data-driven mobility and retail business. Now, we're expanding our data ecosystem even further, strengthening our engineering capabilities, and looking for a Senior Data Architect to help us build data products that scale across the region.
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
Conditions & benefits
Modern cloud-based tech stack to work withCollaboration with talented teams across the CEE regionPlenty of room for growth in a fast-moving digital organizationMedicare health insurance, annual bonus, and extensive benefitsCross-industry exposure within MOL Group's expanding portfolioRegular team events and MOL family experiences
Requirements
- Degree in Computer Science, Information Systems, or similar
- 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
- 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
- Fluent in English