Enhanced DV AWS Data Architect

Summary: The role of Enhanced DV AWS Data Architect requires an experienced professional adept in designing and delivering modern data solutions that facilitate advanced analytics and AI-driven initiatives. The position emphasizes expertise in data architecture, cloud platforms, and modern data lakehouse architectures. Candidates should possess a strong background in data analytics and AI/ML-enabling solutions. Relevant industry certifications are preferred to enhance qualifications for this role.

Key Responsibilities:

• Proven expertise in data architecture, including data modelling, analysis, transformation, migration, metadata, and master data management.
• Track record of delivering data analytics and AI/ML-enabling solutions across complex environments.
• Hands-on experience with cloud data platforms, ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR).
• Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued.
• Strong understanding of modern data lakehouse architectures, such as Databricks, Snowflake, or Microsoft Fabric (highly desirable).
• Exposure to Palantir Foundry or Gotham is an advantage.
• Relevant industry certifications (eg DAMA, DCAM) are preferred.

Key Skills:

• Data architecture expertise
• Data modelling and analysis
• Data transformation and migration
• Cloud data platforms (AWS and Azure)
• Modern data lakehouse architectures
• Industry certifications (DAMA, DCAM)

Salary (Rate): £900 per day

City: undetermined

Country: UK

Working Arrangements: undetermined

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

*Active - Enhanced DV Required*

We're looking for an experienced Data Architect with a strong background in designing and delivering modern data solutions to support advanced analytics and AI-driven initiatives.

Key Responsibilities & Experience:

• Proven expertise in data architecture, including data modelling, analysis, transformation, migration, metadata, and master data management.
• Track record of delivering data analytics and AI/ML-enabling solutions across complex environments.
• Hands-on experience with cloud data platforms, ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR).
• Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued.
• Strong understanding of modern data lakehouse architectures, such as Databricks, Snowflake, or Microsoft Fabric (highly desirable).
• Exposure to Palantir Foundry or Gotham is an advantage.
• Relevant industry certifications (eg DAMA, DCAM) are preferred.