[Hiring] Senior Azure Data Architect @SPD Technology

Role Description

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 includes:

• 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.

Qualifications

• 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.

Benefits

• 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.
• 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.
• 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

• Interview with recruiter
• Intro with Manager
• Technical interview (1 hour)