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Principal Data Architect

Job in Glasgow, Glasgow City Area, G32 0, Scotland, UK
Listing for: Meraki Talent Limited
Full Time position
Listed on 2026-03-03
Job specializations:
  • Engineering
    Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 140000 GBP Yearly GBP 110000.00 140000.00 YEAR
Job Description & How to Apply Below
Principal Data Architect - Glasgow (Hybrid) - £110,000 - £120,000 Meraki Talent have just engaged with a Glasgow based business who are revolutionising their industry. After significant investment, they are looking to scale the business and need a Principal Data Architect to design and lead the evolution of their data architecture. Your mission is to define & implement how data flows across their platforms, how it is stored, synchronized, governed, and shared, both internally and with external partners.

You will enjoy solving complex technical problems that blend system architecture, data engineering and distributed systems.Responsibilities
  • Responsibility for the business AI-Native data strategy.
  • Define the enterprise data architecture for data to ensure it is "ML-ready" from the moment of ingestion.
  • Establish a Data Lakehouse architecture on AWS to manage the massive scale of raw, unstructured data.
  • Advanced relational & semantic modelling.
  • Industrial telemetry & edge synchronization
  • Governance & enterprise readiness.
Experience You are an experience Data Architect with strong Python experience in production data and will have experience working in safety critical environment such as Med/Health Tech, Labs, Pharma, Science, Defence, Space industries or physical domains such as robotics, automotive, aerospace, industrial automation.
  • Experienced Data Architect with strong python experience.
  • Deep experience with Postgre

    SQL, ideally in AWS RDS.
  • Proven experience designing high-throughput telemetry / IoT / industrial data systems generating very large volumes of time-series data.
  • Hands-on understanding of stream ingestion patterns (MQTT).
  • Experience with graph or Vector databases ( Neo4j, Pinecone, pgvector) and modelling complex, highly relational domains.
  • Familiarity with modern data stack components (e.g., data lakes, streaming, or batch/real-time pipelines).
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