Senior Data Architect (Enterprise Data Warehouse)

• Minimum 12+ years of overall experience and 5+ years of relevant data architecture experience, preferably as a Data Architect, or equivalent experience as a senior Data Engineering Lead with demonstrable architecture ownership.
• Strong hands-on Teradata capability within an on-premises enterprise data warehouse environment, including SQL querying, data investigation, issue analysis, and technical validation.
• Practical experience with the Teradata Financial Services Data Model or equivalent financial services data model.
• Strong understanding of enterprise data warehouse design, data marts, data integration patterns, and large-scale data platform delivery.
• Experience working in banking, financial services, or regulatory data environments.
• Knowledge of regulatory data requirements and compliance expectations, including BCBS239, RDARR, regulatory reporting, data traceability, auditability, and evidence-based control design.
• Strong data analysis and data modelling capability, including source data analysis, relationship mapping, and structure definition.
• Working knowledge of ETL delivery processes and tools, ideally including Informatica and/or DataStage.
• Experience designing or implementing metadata-driven ingestion, transformation, control, reconciliation, or data delivery frameworks.
• Working knowledge of Control-M or comparable batch scheduling and orchestration tools.
• Strong stakeholder management and governance presentation experience across business stakeholders, Architecture Boards, governance forums, delivery leads, and peer architecture teams.
• Proven ability to produce governance-ready architecture artefacts, including High Level Design documents and Architecture Design Decisions.
• Strong judgement, independent ownership, and the ability to challenge constructively while driving pragmatic decisions through to resolution.
• Experience or strong appreciation of an Inmon-style integrated enterprise data warehouse architecture approach.

Additional Industry-Relevant Capabilities

• Data governance by design, including data quality, lineage, controls, reconciliation, auditability, and evidence capture.
• Awareness of operational resilience, data observability, and production support considerations.
• Appreciation of modern data architecture patterns where relevant to hybrid warehouse and lake environments.
• Experience with the Teradata Global Control Framework (GCFR) or similar control framework is an added advantage.
• Appreciation of Cloudera or comparable big data platforms is an added advantage, particularly where integration with enterprise warehouse or lake environments is required.
• Broader hands-on data engineering background, particularly where it supports pragmatic architecture and delivery decision‑making.

What you will do:

• Own and support data architecture design for enterprise data warehouse delivery.
• Analyse source data, data flows, business requirements, and downstream consumption needs.
• Support Teradata SQL investigation, detailed technical analysis, and solution validation where required.
• Work with business stakeholders, domains, engineers, testers, delivery leads, and peer architects to resolve queries and align on solution direction.
• Assess design options rationally and recommend pragmatic, scalable, and standards‑aligned solutions.
• Produce and maintain architecture artefacts such as High Level Design documents, Architecture Design Decisions, solution options, design rationale, assumptions, risks, and governance‑ready packs.
• Present architecture designs, options, and recommendations to Architecture Boards or governance forums to secure alignment and approval.
• Embed data governance, metadata, lineage, controls, reconciliation, auditability, privacy, and regulatory compliance into solution design, including metadata‑driven delivery frameworks where appropriate.
• Support delivery teams through build, testing, implementation, and issue resolution.

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