Shape the future of data at scale – driving clarity, quality and innovation across the enterprise.
Act as a trusted expert in enterprise data architecture.
Help build a clear, consistent and reliable data foundation.
Collaborate closely with both business and technology teams to understand their challenges.
Translate challenges into practical, scalable data architecture solutions.
Provide expert guidance and architectural assurance—helping teams make informed decisions.

Requirements

Degree in Computer Science, Data/Information Management, Engineering, or equivalent experience.
Demonstrable experience in enterprise/data architecture, including producing and maintaining conceptual, logical and (where required) physical data models across multiple subject areas.
Demonstrable experience designing and maintaining semantic/canonical models, contributing to data dictionaries, business glossaries and agreed definitions.
Experience translating business and regulatory needs into data architecture artefacts, including requirements capture, options analysis, and producing design decisions aligned to enterprise standards and reference architectures.
Experience designing, improving or assuring metadata management practices (e.g., metadata repositories, glossary/catalogue patterns) and ensuring metadata remains accurate and up to date.
Experience embedding data governance requirements into architecture (data standards, data quality measures, stewardship touchpoints, lineage/traceability expectations).
Experience supporting integration and interoperability outcomes, including defining relationships between datasets/systems and aligning master/reference data concepts.
Experience providing oversight and advice to other architects and delivery teams; coaching and supporting others on modelling and metadata practices.
Experience working with operational technology data (e.g., telemetry/SCADA/IoT) and integrating OT and IT domains -Desirable
Experience with modern data platform patterns (e.g., Lakehouse, streaming, event-driven integration) and their implications for modelling, governance and interoperability - Desirable
Participation in sector standards bodies or national data initiatives (e.g., National Digital Twin, BIM4Water) relevant to data interoperability and standards - Desirable

Benefits

Private healthcare and physiotherapy
24-hour Virtual GP service for you and your household
26 days annual leave (rising with service)
Competitive pension scheme – Anglian Water double-matches your contributions up to 6% (up to 18% combined)
Bonus scheme
Flexible benefits and working culture
Life Assurance (8× salary) and Personal Accident cover
Enhanced family leave policies
Great discounts and perks

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

enterprise data architecturedata modelingsemantic modelscanonical modelsmetadata managementdata governanceintegrationinteroperabilitydata quality measuresoperational technology data

Soft Skills

collaborationguidancecoachingcommunicationproblem-solving