Codeconvergence Limited (CCL)
Data Architect
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Architect with a contract length of "Unknown" and a pay rate of "Unknown." Requires a degree in IT or related fields, strong insurance domain knowledge, and expertise in Azure Data Factory, Databricks, and data governance.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
December 3, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Guildford, England, United Kingdom
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🧠 - Skills detailed
#Data Engineering #BI (Business Intelligence) #Vault #Delta Lake #Logic Apps #Azure #MDM (Master Data Management) #Azure Data Factory #Databricks #Automation #Computer Science #Data Quality #Data Pipeline #Data Architecture #Data Science #Synapse #ML (Machine Learning) #Microsoft Power BI #Documentation #Data Lineage #Spark (Apache Spark) #Metadata #MLflow #Agile #Data Management #SQL (Structured Query Language) #ADF (Azure Data Factory) #PySpark #ML Ops (Machine Learning Operations) #Data Lake #AI (Artificial Intelligence) #Monitoring #Data Governance #Cloud #Snowflake
Role description
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).
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).
