Data Architect

Posted 8 Days Ago
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Budapest, HUN
In-Office
Senior level
Agency • HR Tech • Information Technology • Professional Services
The Role
The Data Architect will design and maintain scalable data architectures, optimize data models, integrate data processes, ensure data quality, and mentor engineers while enhancing a cloud data tech stack.
Summary Generated by Built In

​Our partner’s digital innovation hub delivers customer-focused solutions – such as a mobile-based loyalty program – with agile teams, modern technologies, and strong enterprise-level support and business collaboration.


Responsibilities:

  • Design and maintain robust, scalable data architectures

  • Build and optimize highperformance data models for analytics

  • Partner with business and engineering teams to shape data solutions endtoend

  • 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)

  • 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 codequality frameworks and architecture KPIs



Requirements

Education:

  • Degree in Computer Science, Information Systems, or related field


Experience:

  • Designing and delivering scalable ETL/ELT processes

  • Cloud data platforms: Azure Synapse, Databricks, ADLS

  • Data integration, modeling, migration, performance tuning

  • Requirements gathering, solution design, business analysis

  • CI/CD pipelines and Azure DevOps

  • Mentoring developers and cross-team collaboration


Technical Competencies:

  • Advanced SQL (optimization, tuning, complex queries)

  • ETL tools: Informatica, Talend, SSIS, or similar

  • Data modeling: dimensional, star schema, snowflake

  • Big data frameworks: Hadoop, Spark, Databricks

  • NoSQL: MongoDB, Cassandra

  • Scripting: Python, PowerShell

  • BI tools: Power BI, Tableau, OBIEE or similar

  • Cloud platforms: AWS, Azure, Google Cloud services

  • Data governance and quality frameworks

  • Architecture modeling tools (e.g., Sparx EA)

  • Jira and Confluence



Benefits
  • Work with a modern, cloud-based technology stack

  • Collaborate with skilled teams across the region

  • Opportunities for growth in a fast-moving digital environment

  • Comprehensive health insurance, annual bonus, and additional benefits

  • Exposure to multiple industries and diverse projects

  • Regular team-building events and social experiences



Skills Required

  • Degree in Computer Science, Information Systems, or related field
  • Designing and delivering scalable ETL/ELT processes
  • Cloud data platforms: Azure Synapse, Databricks, ADLS
  • Technical competencies in Advanced SQL, ETL tools, Data modeling, Big data frameworks, NoSQL databases, Scripting, BI tools, Cloud platforms
  • Experience in mentoring developers and cross-team collaboration
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The Company
225 Employees
Year Founded: 2015

What We Do

IDBC Group is a digital recruitment company and an IT & HR services firm, acting as one of Hungary's leading external IT resource providers, specializing in executive search, IT contracting, RPO, and workforce leasing services.

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