Principal Data Architect – Energy, Data Platforms, Snowflake, Azure Fabric

4802340
  • Job type

    Contract
  • Location

    London
  • Working Pattern

    Full-time
  • Specialism

    Data & Advanced Analytics
  • Industry

    Technology & Internet Services
  • Pay

    up to £825 (Inside IR35)

Principal Data Architect – Energy, Data Platforms, Snowflake, Azure Fabric

Principal Data Architect – Energy, Data Platforms, Snowflake, Azure Fabric
£825 per day (Inside IR35)
Primarily remote
3 - 6 months

My client, a high-profile consultancy, urgently requires a Principal Data Architect to join a major Programme. This role will play a key part in delivering enterprise data architecture and supporting strategic data initiatives.

Key Requirements:
  • Proven experience as a Principal / Lead Data Architect in complex enterprise environments
  • Strong track record delivering end-to-end cloud data platforms (Snowflake and/or Azure Fabric)
  • Expertise in data modelling (dimensional, star/snowflake, 3NF) and ELT/ETL pipeline design
  • Deep hands-on experience with Snowflake (Snowpark, SnowPipe/Streaming, Dynamic Tables, Cortex, Unistore, optimisation, RBAC, warehouses, time travel, zero-copy cloning)
  • Broad experience across modern data platforms and tools (Snowflake, Fabric, Databricks, CosmosDB, MongoDB, RDBMS)
  • Experience with data integration (Matillion, Alteryx, Qlik), CDC/replication (Qlik Replicate, GoldenGate), and BI (Power BI)
  • Strong knowledge of APIs, messaging, and streaming data architectures
  • Solid experience in data security, governance, and regulatory frameworks (GDPR, SoX, CNI)
  • Strong understanding of relational and NoSQL data architectures
  • Proven ability to troubleshoot complex data pipelines and platform issues
  • Experience migrating data from diverse sources (RDBMS, SAP, Salesforce, GIS, PI Historian)
  • Exposure to Machine Learning, Generative AI, and Agentic AI
  • Strong stakeholder engagement and collaboration with BI/analytics teams

Nice to Have:
  • Experience within the Energy / Utilities sector
  • Hands-on experience with Azure ML or advanced analytics platforms
  • Prior involvement in large-scale data transformation or data strategy programmes


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