Data Platform Architecture & Engineering Consultant (AI)

TL;DR

Data Platform Architecture & Engineering Consultant (AI): Designing and leading the architecture and development of scalable, secure, and cost-efficient data, analytics, and AI platforms with an accent on cloud-native architectures, data engineering, and DevOps practices. Focus on innovating with AI-driven data solutions, enabling hybrid cloud transformation, and advising on enterprise data strategy to unlock data's full potential.

Location: Hybrid, based in London, Manchester, or Glasgow, United Kingdom. Requires flexibility and potential travel for client assignments.

Company

hirify.global is a global business and technology transformation partner, helping organizations accelerate their dual transition to a digital and sustainable world with 350,000 team members across 50+ countries.

What you will do

• Lead the architecture and development of scalable, secure, and cost-efficient data, analytics, and AI platforms using cloud technologies (AWS, GCP, Azure).
• Implement modern hybrid data architectures (e.g., Snowflake, Redshift, BigQuery) and migrate legacy systems to cloud-native solutions.
• Create Proof of Concepts and MVPs for advanced analytics and AI platforms aligned with enterprise objectives.
• Build and streamline data pipelines, infrastructure provisioning, and deployments using DevOps, CI/CD, and IaC tools (Terraform, CloudFormation).
• Shape enterprise data strategy, develop architecture blueprints, roadmaps, and communication plans.
• Champion user-centric design and storytelling to create compelling data platform solutions, applying industry frameworks (TOGAF, DAMA).

Requirements

• Strong consulting experience with 10+ years in data technologies and architecture.
• 6+ years designing, implementing, and managing cloud-based architectures (AWS, Azure, GCP) and modern data solutions (Snowflake, Databricks, BigQuery, Synapse).
• At least 3 intermediate-level cloud certifications and expertise in cloud-native AI data architectures.
• Proficiency in Infrastructure-as-Code (Terraform, ARM Templates, Google Deployment Manager) and DevOps practices.
• Solid understanding of ETL/ELT processes and modern architecture patterns (Data Mesh, Data Fabric).
• SC Cleared / Eligible (UK Public Sector security clearance).
• English: B2 required.

Nice to have

• Experience in UK Public Sector, Banking, Financial Services and Insurance (BFSI), Consumer Products, Retail and Distribution (CPRD), Telecoms, and Transport domains.
• Knowledge of cloud cost management tools and best practices.
• Proven track record of applying Agile methodologies and leading cross-functional teams.

Culture & Benefits

• Clear pathway for professional certification (e.g., DAMA) and ongoing learning via Data Academy and AI upskilling programs.
• Opportunity to lead high-visibility, cutting-edge client engagements in data & AI.
• Flexible working, comprehensive benefits, and a culture of collaboration, innovation, and growth.
• Chance to step into a leadership journey, influencing strategy and building high-performing teams.
• Hybrid working arrangements are a day-to-day reality, with flexible working available.
• Focus on employee wellbeing, with Mental Health Champions and wellbeing apps (Thrive, Peppy).