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 S
