FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Azure Data Architect – GenAI, RAG, Agentic AI
SPD Technology. Support a broad set of architectural needs across multiple workstreams .
Posted 10/2/2026full-timeRemote • Poland, Spain, Colombia, Georgia, United Kingdom, PortugalSeniorWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Azure Data Architecture, focusing on designing and implementing scalable data solutions for GenAI, RAG, and Agentic AI applications. Proficient in data modeling, ingestion, and modernizing data platforms while ensuring effective data governance and retrieval.
Highest-signal resume keywords
Azure Data ArchitectureAzure Cosmos DBAzure Synapse AnalyticsData ModelingData Ingestion
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData ModelingData IngestionT-SQLAzure DatabricksAzure SQL MIAzure Data LakeVector-Search TechnologyMetadata-Driven IngestionUnstructured Data Handling
Soft Skills
Personal OwnershipCollaboration
Tools & Technologies
Azure FunctionsAzure Data Platform
Industry Keywords
GenAIRAGAgentic AIEnterprise Data GovernanceData Preparation
Tech Stack
Tools & technologiesAzureSQL
About the role
Key responsibilities & impact- Support a broad set of architectural needs across multiple workstreams
- Design and own the data layer behind GenAI, RAG, and Agentic AI applications
- Ensure enterprise data and knowledge are ingested, prepared, stored, governed, and made available for AI consumption and retrieval
- Own and design data architecture, data modeling, ingestion, and platform modernization for enterprise Azure environments
- Design and implement scalable, metadata/configuration-driven data ingestion and data platform solutions
- Work with structured and genuinely unstructured data across the enterprise platform
- Modernize existing data platforms and ensure implementation-ready architecture
Requirements
What you’ll need- Strong background in enterprise Azure Data Architecture
- 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
- Experience with data preparation for retrieval and vector-search/storage technology selection
- Hands-on experience with Azure Data Platform technologies
- Experience with Azure Synapse Analytics, including designing/working with its capabilities
- Experience with Azure Databricks
- Experience with Azure SQL MI, SQL Server, and T-SQL
- Experience with Azure Data Lake / Lakehouse architecture
- Experience with 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
Comp & perks- Fully remote work around the globe or hybrid work from office hubs
- Flexible working schedule
- Stable workload and stable income
- Performance review and career path
- Mentorship program
- Personal development plan
- Individual learnings through the corporate library
- Public speaking support
- Company-wide tech and cultural events
- Meaningful CSR initiatives
- Supportive and flexible work environment
- Collaboration, open communication and mutual respect