Az álláshirdetés lejárt.
We are looking to hire an experienced and passionate Senior Data Architect to join us. The new team member is part of our digital engineering team, and the focus of this role is on contributing through the whole data product lifecycle helping Data Squads to deliver business value via table structure and data transformation design to ensure stability and technical integrity of our data tech stack. Furthermore, this role performs QA, guide and consult Data Engineers and BI Developers as the role must oversee the overall data model of the group.
Main Responsibilities:
- Design, implement, and maintain data architecture solutions to support business objectives and decision-making processes.
- Develop and optimize data models for data warehousing and analytics, ensuring scalability and performance.
- Collaborate with business stakeholders and technical teams to support discovery, detailed assessment, and low-level design phases of data solutions.
- Lead efforts in data integration, transformation, and migration using a variety of ETL technologies (Extract, Transform, Load).
- Ensure high standards for data quality, consistency, and security across systems and processes.
- Design and implement data pipelines and workflows to process large datasets efficiently.
- Support ongoing improvements and maintenance of the Data Tech Stack solutions, ensuring its alignment with business needs.
- Work closely with teams to ensure best practices in data architecture and management are implemented.
- Provide guidance on the adoption of Databricks for advanced analytics and data processing tasks.
- Collaborate with cross-functional teams to resolve data-related technical issues and provide technical guidance.
- Conduct regular performance assessments and optimization of existing SQL databases and related systems.
- Design and manage code quality framework and KPIs.
About Your Experience and Skills:
- University or college degree with specialization in Computer Science or Information Systems or equivalent
- Professional and Technical Competencies
- Proficiency in SQL, including complex querying, optimization, performance tuning, and database administration tasks.
- Expertise in ETL tools and frameworks such as Informatica, Talend, or SSIS (SQL Server Integration Services).
- Data modeling techniques, including dimensional modeling, star schema, and snowflake schema for scalable and optimized data structures.
- Mastery of data architecture and frameworks, including governance, KPIs, and overseeing the entire data landscape.
- In-depth knowledge of database administration: performance tuning, indexing strategies, and data partitioning across platforms like Oracle, MS SQL Server, and PostgreSQL.
- Knowledge of big data platforms and technologies such as Hadoop, Spark, Databricks, and cloud-based data services (e.g., MS Synapse, MS Fabric).
- Deep understanding of NoSQL databases (e.g., MongoDB, Cassandra).
- Proficiency in scripting languages like Python and PowerShell for ETL automation, workflow scheduling, and data quality checks.
- Familiarity with BI and reporting tools such as Tableau, Power BI, or OBIEE for dashboards, reports, and visualizations.
- Extensive knowledge of cloud platforms like AWS, Azure, Google Cloud, and related data services (e.g., AWS Redshift, Azure SQL Data Warehouse, Google BigQuery).
- Knowledge of data governance principles, metadata management, and implementing data quality processes.
- Experience with system design using configuration and/or customization.
- Cloud Data & Analytics technologies: Databricks, Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Delta Lake, Azure Data Factory (ADF), Power BI.
- Development & Automation technologies: Python, ANSI SQL, T-SQL, CI/CD Pipelines (Azure, Databricks), Azure DevOps.
- Architecture & Design technologies: Sparx EA tool experience.
- Professional usage of Microsoft Office Suite.
- Experience with Atlassian JIRA,
Soft Skills:
- Proven analytical abilities
- Facilitating skills and able to drive consensus involving technical and non-technical resources.
- Excellent communication skills to translate data into actionable insights.
- Self-driven, detail-oriented, capable of multi-tasking, highly organized, with excellent time management skills.
- Results-oriented, ability to work in a fast-paced environment, managing multiple tasks in parallel.
- Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upward.
- Reliable, accurate, and dynamic, able to work independently or in a team.
- Proactive mindset with a positive attitude and a strong sense of ownership, and team mentality.
- Strong attention to detail and commitment to delivering high-quality work.
- Strong written and verbal communication skills in both Hungarian and English for cross-functional collaboration.
- Growth mindset with a passion for continuous learning, adapting, and staying updated on industry trends and best practices.
- Openness to work with different cultures across CEE.
What We Offer:
- Work with an advanced and innovative tech stack.
- Collaborate with multinational teams and projects across the CEE region.
- Enjoy tremendous opportunities for continuous learning and growth in a fast-paced, agile environment.
- Explore versatile career paths in a dynamically growing international organization at Local and Group level.
- Gain cross-industry experience through our expanding portfolio of businesses
- be part of a supportive and inclusive workplace that values innovation and creativity.
- Access Medicover health insurance and an extensive benefit package, including an annual bonus and maximalized fringe benefits.
- Participate in regular team outings and family events.