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We are seeking a pragmatic, detail oriented and experienced Lead Enterprise Data Architect to join our growing Data practice. The ideal person for this role will have extensive Data expertise gained from working at senior management and C-level suite levels and will be responsible for leading client engagements, defining architectural frameworks, as well as defining high level operating models and governance frameworks for managing the Data Architecture. You will also love to collaborate with other Data professionals, engineers, and business or operations experts to understand and address their data needs. As an 'Enterprise' Data Architect, you will be a trusted client advisor providing high-value data architecture strategy & TOM services, responsible for defining how Data fits into the wider Business and Technology Architectures which exist. Although technology agnostic, you will have experience in shaping vendor assessments for the various components of the architecture and will work with Data Solution Architects who are responsible for defining, elaborating, and designing the physical layers of the architecture and data models. You will share a passion for Data and how it can be used to develop Data Driven Businesses, innovative ideas and thrive in an environment that embraces collaboration with clients and internal teams to scope, plan and execute projects on time and within budget. The role is a hybrid role maintaining a utilization target of 50% with the remaining 50% of your time focused on pre-sales activity. You will be expected to shape propositions and services, support sales activities, deliver client engagements, lead teams (on/near/far shore) and manage cross-functional client staff and stakeholders in a variety of contexts. We are looking for someone with a strong background in Data Architecture and demonstrable experience of delivering Data Architecture Projects utilising a broad range of methods and frameworks incorporating on-prem, cloud and hybrid models. This role is London based but may involve travel within the UK and Europe and will require flexibility.
Job Responsibility:
Input into and drive the creation of go-to-market propositions and services in Data Architecture
Support client partners and practice leads in pre-sales activities
Lead complex client engagements
Act as a go-to practitioner in delivering projects in the Data Architecture field
Data Architecture Frameworks
Defining end-to-end Data Architectures
Leading and developing architecture teams
Joining the dots between Business, Technology and Data architectures
Input into the shaping of Data Architecture engagements
Deliver Data Architecture engagements with/ for our clients
Remain up to date with the continuous evolution in the Data Architectures and ensure that this knowledge is made available to the wider Data & Intelligence practice
Requirements:
7+ years involvement in heavy engineering and manufacturing in its broadest sense
8+ years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record
Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code
Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing
Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels
Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities
Minimum of 5 years years experience in data, consulting, analytics or a related function involving quantitative data analysis to solve problems
University Degree, BSc in Computer Science, Information Management, or Information Technology
Nice to have:
Multi-platform technology stack - Experience with Snowflake, Databricks, modern ETL/ELT tools, and relevant certifications (SnowPro, AWS/Azure Data)
Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management
AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures
Technical leadership at scale - Leading 15+ person cross-functional teams and serving as technical escalation point for C-level stakeholders
Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing
What we offer:
Range of tailored benefits that support physical, emotional, and financial wellbeing