Data Architect - Coventry

DCV Technologies Limited
Coventry, United Kingdom
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 66K

Job location

Coventry, United Kingdom

Tech stack

API
Artificial Intelligence
Azure
Cloud Computing
Data Architecture
Data Governance
Data Integration
ETL
NoSQL
Role-Based Access Control
Snowflake
Microsoft Fabric
Data Management
Physical Data Models
Data Pipelines
Databricks

Job description

  • Own and define enterprise data architecture across large-scale initiatives
  • Design logical and physical data models and platform architectures
  • Lead cloud data platform implementations and migrations
  • Define data governance, security, lineage, RBAC, and compliance controls
  • Oversee data pipelines, ETL/ELT, CDC, streaming, and integrations
  • Optimise performance and cost across platforms such as Snowflake and Azure
  • Support analytics, reporting, ML, and AI use cases
  • Act as a trusted advisor to senior stakeholders

Technologies:

  • AI
  • Azure
  • Cloud
  • Databricks
  • ETL
  • Fabric
  • Support
  • NoSQL
  • RBAC
  • Security
  • Snowflake
  • Architect

More:

We are a large, complex organization looking to enhance our data architecture capabilities. This contract role offers the opportunity to lead the design and delivery of enterprise-scale cloud data platforms, ensuring our initiatives are successful and impactful. We foster a collaborative environment where you will work closely with senior technical and business stakeholders. This position provides a chance for ownership and influence at scale, all while working from a location of your choice.

Requirements

  • Strong background in Data Architecture and Cloud Data Platforms
  • Hands-on experience with Snowflake, Azure, Databricks and/or Microsoft Fabric
  • Proficient in data integration, ETL/ELT, APIs, and streaming technologies
  • Expertise in data modelling (relational, dimensional, NoSQL)
  • Knowledge of data governance, security, GDPR, and compliance frameworks
  • Experience in delivering complex data migrations or modernisation programmes

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