Senior Data Architect

Hely: Budapest
Cég: MOL Nyrt.
Kategória: IT programozás, Fejlesztés

Design, maintain, and evolve robust, scalable data architectures aligned with business and digital transformation objectivesBuild and optimize high‑performance data models for analyticsAct as a strategic partner to business and engineering teams to shape data solutions end‑to‑endLead data integration, transformation, and migration effortsEnsure data quality, consistency, governance, and security across systemsDesign efficient data pipelines and workflows for large datasetsContinuously improve our cloud data tech stack (Synapse, Databricks, ADLS, ADF)Maintain and evolve the enterprise data model, ensuring consistency and scalability across data productsSupport discovery, assessment, and solution design activities for new data initiativesCoach and guide Data Engineers and BI Developers on best practicesSupport adoption of Databricks for advanced analytics and processingTroubleshoot complex data issues and performance bottlenecksDefine code‑quality frameworks and architecture KPIs EducationDegree in Computer Science, Information Systems, or similar ExperienceDeep experience designing and delivering scalable ETL/ELT processesStrong background in cloud data platforms (Azure Synapse, Databricks, ADLS)Hands‑on experience with data integration, modelling, migration, and performance tuningExperience with requirements gathering, solution design, and business analysisComfortable with CI/CD pipelines and Azure DevOpsAbility to mentor developers and collaborate across functions and teams Professional and Technical CompetenciesAdvanced 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, DatabricksKnowledge of NoSQL systems (MongoDB, Cassandra)Scripting skills in Python and/or PowerShellExperience with Power BI, Tableau, OBIEE or similarFamiliarity with AWS, Azure, or Google Cloud data servicesUnderstanding of data governance and quality frameworksExperience with architecture modeling tools (e.g., Sparx EA)Comfortable with Jira and Confluence Soft SkillsAnalytical, curious, and always eager to improve what’s already goodAble to drive consensus among technical and non‑technical stakeholdersClear communicator who can turn complex data topics into understandable insightsHighly organized and reliable – you bring structure even when things get messyComfortable juggling multiple priorities in a fast‑paced environmentStrong sense of ownership and team mindsetGrowth‑minded, proactive, and open to learningComfortable collaborating across cultures and countries 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

Címkék: Alkalmazotti jogviszony, Főiskola

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