Senior Azure Data Architect (GenAI / RAG / Agentic AI Experience)

SPD Technology; Polska; Hybrid; PLN 466,000 - 700,000; Full time

Job summary

SPD Technology is seeking a Senior Azure Data Architect to design and own the data layer behind GenAI, RAG, and Agentic AI applications. You will ensure enterprise data is ingested, stored, governed, and made accessible for AI-driven retrieval and analysis.

Join a remote-first, globally distributed team focused on cutting-edge data platforms. You will collaborate across workstreams to modernize data capabilities and empower AI-enabled decision making.

Qualifications

• Strong background in enterprise Azure Data Architecture with proven depth in Azure Cosmos DB and Azure Synapse Analytics.
• Experience designing data/knowledge layers supporting GenAI, RAG, or Agentic AI applications.
• Hands-on with Azure Data Platform technologies including Synapse, Databricks, SQL Server/T-SQL, Data Lake/Lakehouse, and Functions.

Responsibilities

• Own and design the data architecture, data modeling, ingestion, and platform modernization for enterprise Azure environments.
• Design the data layer supporting GenAI, RAG, and Agentic AI applications, including ingestion, preparation, storage, governance, and retrieval for AI use.
• Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions.
• Work with structured and unstructured data across the enterprise platform.
• Modernize existing data platforms and ensure implementation-ready architecture.

Skills

Azure Data Platform

Data Architecture

GenAI integration

RAG pipelines

Azure Databricks

Cosmos DB

SQL/T-SQL

Tools

Azure Synapse Analytics

Azure Databricks

Azure Cosmos DB

Azure SQL MI

Azure Functions

Azure Data Lake

Job description

About us

At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence, and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed.

We are looking for a Senior Azure Data Architect to join us as part of our team.

About the role

As an Enterprise Azure Data Architect, you will support a broad set of architectural needs across multiple workstreams. In this role, you will design and own the data layer behind GenAI, RAG, and Agentic AI applications, ensuring enterprise data and knowledge are effectively ingested, prepared, stored, governed, and made available for AI consumption and retrieval.

Our stack

Azure Data Platform, Azure Cosmos DB, Azure Synapse Analytics, Azure Databricks, Azure SQL MI / SQL Server / T-SQL, Azure Data Lake / Lakehouse architecture, Azure Functions.

As a qualified expert You will

• Own and design the data architecture, data modeling, ingestion, and platform modernization for enterprise Azure environments.
• Design the data layer supporting GenAI, RAG, and Agentic AI applications, including how enterprise data and knowledge are ingested, prepared, stored, governed, and made available for retrieval and AI consumption.
• Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions.
• Work with both structured and genuinely unstructured data across the enterprise platform.
• Modernize existing data platforms and ensure implementation-ready architecture.

We're looking for you if you have

• Strong background in enterprise Azure Data Architecture with proven depth in Azure Cosmos DB and Azure Synapse Analytics.
• Real production project experience designing or contributing to the data/knowledge layer supporting GenAI, RAG, or Agentic AI applications.
• Demonstrated personal ownership of the data/knowledge architecture behind a production RAG/Agentic application (including data preparation for retrieval and vector-search/storage technology selection).
• Hands-on experience with Azure Data Platform technologies, including Azure Synapse Analytics (with specific experience designing/working with its capabilities), Azure Databricks, Azure SQL MI / SQL Server / T-SQL, Azure Data Lake / Lakehouse architecture, and Azure Functions.
• Experience in data modeling, ingestion pipelines, and modernizing existing data platforms.
• Hands-on experience handling structured and genuinely unstructured data.
• Proven ability to design scalable, metadata/configuration-driven ingestion architectures.

What's in it for You

Reveal great tech solutions

Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients.

Experience an agile and flexible working environment

Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture.

Embrace the opportunity for personal and professional growth

Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more.

Feel cared about

Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values.

Interview steps

1. Interview with recruiter
2. Intro with Manager
3. Technical interview (1 hour)