Data Architect

1 week ago

Guildford, Surrey, United Kingdom Codeconvergence Limited (CCL) Full time £90,000 - £120,000 per year

You Must Posses

  • Possess a Bachelor or master's degree in IT, Computer Science, Engineering, Business, or Decision Sciences.
  • Drive meaningful customer conversations and achieve positive business outcomes.
  • Proven experience as a Technical Architect, Data Architect, or Lead Data Engineer in large enterprise environments.
  • Strong knowledge of insurance domain processes, including policy, claims, underwriting, pricing, risk, and regulatory reporting.

Hands-on expertise with:

o Azure Data Factory (ADF) for pipeline orchestration

o Databricks (PySpark, Delta Lake, MLflow) for data engineering and ML integration

o Azure ecosystem (Key Vault, Data Lake, Synapse, Functions, Logic Apps)

·   Strong understanding of AI/ML lifecycle, model operationalization, and integration with enterprise data platforms.

·   Experience creating architecture standards, guardrails, governance frameworks, and engineering best practices.

·   Deep technical knowledge of data architecture, integration patterns, CI/CD for data, pipeline monitoring, and data quality frameworks.

· Excellent stakeholder management and communication skills, particularly with Data Science teams and business leaders.

· Strong documentation and solutioning skills, capable of producing high-quality architectural blueprints.

· Strong understanding of data governance, metadata management, and data lineage.

· Proficiency in SQL for advanced data modelling, optimization, and validation.

· Excellent ability to translate business requirements into technical designs.

· Strong problem-solving and analytical thinking skills.

· Understanding of the Agile methodology for development and execution.

· Maintains an active learning approach, staying current with industry trends, and applying these insights to develop solutions, initiate new projects, and shape capability roadmaps.

·       Contribute to the development of solutions and automation accelerators and mentor emerging Data & AI talent.

·
Adept at recruiting top-tier Data & AI practitioners.

Preferred Qualifications

· Experience with Microsoft Fabric, Databricks Unity Catalog, or Snowflake.

· Familiarity with ML Ops, model performance monitoring, and responsible AI frameworks.

· Cloud certification (e.g., Azure Solutions Architect, Databricks, or equivalent).

· Experience with Power BI or semantic model design is beneficial.

· Exposure to data governance, metadata management, and master data management (MDM).

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