EuroWork Navigator is partnering with an international client to recruit an experienced Azure Data Architect for a fully remote position focused on enterprise Azure data architecture and the data layer supporting Generative Artificial Intelligence (GenAI), Retrieval-Augmented Generation (RAG) and Agentic Artificial Intelligence applications.

This is a highly specialised role requiring the combination of Azure Data Architecture, Azure Cosmos DB, Azure Synapse Analytics and proven production experience designing the data or knowledge layer behind RAG, GenAI or Agentic Artificial Intelligence applications.

The role does not require you to develop RAG solutions or Artificial Intelligence agents. The focus is on the underlying data architecture – how enterprise data and knowledge are ingested, prepared, stored, governed and made available for retrieval and Artificial Intelligence consumption.

Your Role:

• Design and own enterprise-scale Azure data architectures supporting complex data and Artificial Intelligence use cases

• Design the data and knowledge layer supporting production RAG, GenAI and Agentic Artificial Intelligence applications

• Architect scalable solutions using Azure Cosmos DB, including data modelling, partitioning, indexing, throughput, scalability and cost optimisation

• Make architectural decisions across Azure Synapse Analytics, including Pipelines, Spark, Serverless SQL and Dedicated SQL Pools

• Work across the Azure data ecosystem, including Azure Databricks, Azure SQL Managed Instance, SQL Server, Transact-SQL, Azure Data Lake, Lakehouse architectures and Azure Functions

• Design scalable, reusable and metadata/configuration-driven ingestion architectures across databases, Application Programming Interfaces and file-based sources

• Architect solutions involving both structured and genuinely unstructured data, including documents, Portable Document Format files, free text, scanned content, images and emails

• Assess and modernise existing data platforms, addressing performance, scalability, modelling and data-quality challenges

• Define immediate tactical improvements alongside longer-term target architecture

• Design solutions involving batch processing, incremental processing and incremental refresh

• Lead data modelling, ingestion and platform modernisation, evaluating technologies according to scalability, cost, workload and business requirements

• Produce detailed architecture documentation, diagrams and implementation-ready technical recommendations

• Work closely with engineering teams and business stakeholders to guide implementation

Your Profile:

To be considered for this position, you must have proven project experience with:

• Enterprise Azure Data Architecture, including strong personal architecture ownership

• Azure Cosmos DB – a fundamental and essential requirement for this role

• Strong and current Azure Synapse Analytics

• A real production RAG, GenAI or Agentic Artificial Intelligence application where you personally designed or contributed to the supporting data or knowledge architecture

• Artificial Intelligence-ready data architecture, including preparing enterprise data or knowledge for retrieval and Artificial Intelligence consumption

• Azure Databricks

• Azure SQL Managed Instance / SQL Server / Transact-SQL

• Azure Data Lake / Lakehouse architecture

• Azure Functions

• Both structured and genuinely unstructured data

• Scalable, metadata/configuration-driven ingestion and reusable ingestion architecture

• Data modelling, ingestion and existing-platform modernisation

• Batch processing, incremental processing and incremental refresh

You must demonstrate strong practical architectural experience with Azure Cosmos DB, including data modelling, partition-key strategy, indexing, Request Units and throughput optimisation, scalability, cost optimisation, consistency and Change Feed.

Your project history must clearly demonstrate personal ownership of relevant architectural decisions. Theoretical knowledge, training, requirement mapping or proof-of-concept exposure alone is not sufficient for the required production RAG/Agentic experience.

You should be able to assess an existing complex data platform, distinguish immediate tactical improvements from longer-term architectural changes, evaluate technologies objectively and translate your recommendations into implementation-ready architecture.

Good professional English is required, ideally C1 level.

Application Requirements

Please submit your CV together with detailed project information or a technical portfolio demonstrating your relevant hands-on experience.

Your application must clearly show actual project experience and your personal contribution, particularly:

• A production RAG, GenAI or Agentic Artificial Intelligence project, including approximate project dates and what you personally designed or owned

• What the application was designed to do

• The data or knowledge architecture supporting the application, including how enterprise data was ingested, prepared, stored and made available for retrieval and Artificial Intelligence consumption

• Your experience with documents, text extraction, metadata, chunking, embeddings, vector search/retrieval or similar patterns, where applicable

• The storage, search and vector-search technologies used

• Your hands-on architectural experience with Azure Cosmos DB, including how it was used and the architectural decisions you personally made

• Your strongest Azure Synapse Analytics project, including which Synapse capabilities you personally designed or worked with, the role Synapse played within the architecture and the architectural decisions you owned

• Your relevant architecture experience with Azure Databricks, Azure Data Lake / Lakehouse architecture, Azure SQL and Azure Functions

This information may be included directly in your CV or provided as a separate project portfolio/document submitted together with your application.

Please note that applications which do not provide clear evidence of the required production RAG/Agentic data-architecture experience together with Azure Cosmos DB and Azure Synapse Analytics cannot be considered for this position.

What Is Offered:

• Full-time, fully remote opportunity

• International and technically challenging project environment

• Complex, enterprise-scale Azure data architecture work

• Opportunity to work at the intersection of modern Azure data platforms and production Generative Artificial Intelligence architecture

• Long-term collaboration

• Employment contract available for candidates eligible for employment in Bulgaria

• B2B collaboration available, particularly for candidates based outside Bulgaria

• Straightforward interview process consisting of an introductory discussion followed by a technical interview

• Open to candidates across all European Union member states, as well as Bulgaria, Turkey, Serbia, Albania, Bosnia and Herzegovina, Kosovo, Montenegro, North Macedonia, Armenia, Georgia, Azerbaijan and Moldova

• Candidates based in Latin America who can fully work within the required schedule may also be considered

• Candidates from Ukraine will also be considered

If you combine strong Azure Data Architecture expertise with proven production experience designing the data architecture behind RAG, GenAI or Agentic Artificial Intelligence applications, we would be pleased to hear from you.

Please note: only shortlisted candidates will be contacted.