Data Engineer

Dinarys is looking for a Senior Data Architect to take ownership of a complex existing Azure data platform and lead its assessment, modernization, and architectural improvement.

The role combines architecture ownership with hands-on technical expertise. You will assess the current platform, identify architectural and data-quality issues, define tactical improvements and a longer-term target architecture, and provide engineering teams with detailed, implementation-ready technical guidance.

The project involves complex structured and unstructured data, modern Azure data services, Databricks, and Azure Cosmos DB, with a strong focus on scalability, maintainability, performance, and cost optimization.

What You’ll Do

• Take ownership of the existing Azure data platform and assess its architecture, performance, scalability, and data quality.
• Define both tactical architecture for immediate improvements and target architecture for long-term modernization.
• Design and optimize scalable data architectures using Azure and Databricks.
• Develop and improve data pipelines, data models, and data warehousing structures.
• Design metadata- and configuration-driven ingestion frameworks that can be reused across multiple data sources.
• Work with both structured and genuinely unstructured data, including files, documents, PDFs, free text, scanned content, images, and similar sources.
• Design batch and incremental data processing approaches.
• Work with Azure Cosmos DB, including data modelling, partitioning, indexing, consistency, Change Feed, RU/throughput optimization, scalability, and cost optimization.
• Translate engineering, analytics, business, and client requirements into practical technical designs.
• Guide the integration of new data sources and capabilities into the existing platform.
• Define data modelling, data management, governance, security, and quality standards.
• Produce detailed architecture documentation, diagrams, technical recommendations, and implementation guidelines.
• Troubleshoot complex platform issues and provide technical guidance to engineering teams.
• Mentor engineers and share knowledge about modern data technologies and emerging approaches.

What We’re Looking For

• Proven experience as a Senior Data Architect with clear ownership of data platform architecture.
• 4+ years of hands-on Azure experience, with strong and recent experience across the Azure Data Platform.
• Strong commercial experience with:
  
  • Azure SQL
  • Azure Data Factory (ADF)
  • Azure Synapse
  • Azure Data Lake
  • Databricks
  • Azure Cosmos DB
• Deep hands-on experience with Azure Cosmos DB, including data modelling, partitioning, RU/throughput and cost optimization, indexing, consistency, scalability, and Change Feed.
• Strong experience with data modelling, Data Engineering, and Data Warehousing.
• Experience designing metadata/configuration-driven and reusable ingestion architectures.
• Strong understanding of batch and incremental processing.
• Experience working with both structured and unstructured data at scale.
• Proven ability to assess and modernize existing data platforms and quickly produce implementation-ready architecture.
• Strong experience with Python, SQL, and ETL/ELT.
• Strong understanding of data platform performance, scalability, maintainability, and data quality.
• Strong communication skills and the ability to work with engineers, business stakeholders, and international clients.
• English C1 or higher is preferred.
• Ability to work within the CET time zone.

Nice to Have

• Experience designing data platforms with future AI and natural-language querying use cases in mind.
• Understanding of how enterprise data architectures can support Generative AI and AI-powered analytics.
• Experience providing technical mentorship and evaluating emerging data technologies.
• Familiarity with Azure data governance, security, access control, and compliance.

What We Offer

• Fully remote, full-time engagement.
• 12-month project with a planned start at the beginning of September.
• Opportunity to take architectural ownership of a complex and challenging Azure data platform.
• Direct impact on the modernization strategy and technical direction of the platform.
• Collaboration with experienced engineering and technical teams.
• Work with modern Azure data technologies, Databricks, and Cosmos DB.
• Long-term opportunity to apply your architecture expertise to a technically challenging international project.

Conditions

We offer a fully remote, full-time engagement for 12 months, with the project operating in the CET time zone. Candidates from Balkan countries are strongly preferred.

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