Senior Data Manager

Overview

In this role you will help clients design and deliver cloud-native data platforms that enable AI and advanced analytics. You’ll lead cloud transformation initiatives, migrate legacy environments, and build PoCs/MVPs aligned with business goals. You will work with senior stakeholders to translate complex tech into value and contribute to practice development. This is an opportunity to shape enterprise-scale data architectures at a market-leading technology consultancy.

Pay / Benefits

• bonus
• benefits
• hybrid work arrangements

Responsibilities

• Design and deliver secure, scalable cloud-native data platforms (AWS, Azure, GCP)
• Lead cloud transformation initiatives and migrations to modern data platforms (Snowflake, Databricks, Synapse, Redshift, etc.)
• Build PoCs and MVPs for AI/advanced analytics with measurable business value
• Automate infrastructure, deployments and data pipelines using IaC, DevOps, CI/CD and cloud tooling (Terraform, ARM Templates, CloudFormation)
• Advise on data strategy, architecture roadmaps and platform design for senior stakeholders
• Apply modern architecture patterns (Data Mesh, Data Fabric) with governance and user-centric design
• Support business development through proposals, bids and client presentations and contribute to thought leadership

Key requirements

• Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions in a consulting or client-facing context
• ~10+ years with modern data technologies; at least 6 years designing cloud-based data platforms (AWS, Azure or GCP)
• Hands-on experience with Snowflake, Databricks, Synapse, BigQuery, Redshift or similar
• Strong IaC, DevOps, CI/CD, networking, security and identity management knowledge for cloud environments
• Experience designing ETL/ELT solutions, cloud migrations and Data Mesh/Data Fabric patterns
• Excellent stakeholder management and communication skills; able to translate technical concepts into business value
• Eligibility for UK Security Clearance (SC)
• Desirable: cloud certifications (intermediate+), AI data architecture expertise, Agile delivery, cloud cost optimization, sector experience

• Stakeholder management
• Consulting and communication
• Shaping strategy
• Snowflake
• Databricks
• Synapse

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