Senior Teradata Architect

We are looking for a Senior Teradata Architect for our Fortune 500 client and their banking client. We're looking for a hands-on architect with deep experience designing and delivering enterprise data warehouse solutions on Teradata, ideally within the Teradata Financial Services Data Model and an Inmon-style integrated EDW. The role combines solution architecture, governance, and stakeholder alignment with real hands-on work. Roughly 50% of the role is hands-on: SQL investigation, detailed data analysis, solution validation, and delivery support. This is not a purely strategic architecture position. This is a long-term remote-first contract position in the EU with occasional on-site participation in client workshops. Responsibilities - Own and support data architecture design for enterprise data warehouse delivery. - Analyse source data, data flows, business requirements, and downstream consumption needs. - Perform Teradata SQL investigation, detailed technical analysis, and solution validation. - Work with business stakeholders, domains, engineers, testers, delivery leads, and peer architects to resolve queries and align on solution direction. - Assess design options and recommend pragmatic, scalable, standards-aligned solutions. - Produce and maintain architecture artefacts: High Level Designs, Architecture Design Decisions, solution options, design rationale, assumptions, risks, and governance-ready packs. - Present designs and recommendations to Architecture Boards and 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. - Support delivery teams through build, testing, implementation, and issue resolution. Work Conditions - Start Date: October - Location: Remote in the EU - Long-term contract-based role: PO till December 2026 with extension to 2027 Requirements - 8+ years' experience in data engineering and architecture, including 5+ years in data architecture (as a Data Architect, or as a senior Data Engineering Lead with demonstrable architecture ownership). - Strong hands-on Teradata experience in an on-premises EDW environment: SQL querying, data investigation, issue analysis, and technical validation. - Practical experience with the Teradata Financial Services Data Model or an equivalent financial services data model. - Strong understanding of EDW design, data marts, data integration patterns, and large-scale data platform delivery. - Experience in banking, financial services, or regulatory data environments. - Knowledge of regulatory data requirements, including BCBS 239, RDARR, regulatory reporting, data traceability, auditability, and evidence-based control design. - Strong data analysis and data modelling skills: source data analysis, relationship mapping, and structure definition. - Proven ability to produce governance-ready artefacts (HLDs, ADDs) and to present them to Architecture Boards. - Strong stakeholder management, independent ownership, and the ability to challenge constructively and drive decisions to resolution. Technical Requirements Mandatory - Teradata (on-prem EDW), advanced SQL - Teradata FSDM or an equivalent financial services data model - Inmon-style integrated EDW architecture - ETL delivery processes and tools, ideally Informatica and/or DataStage - Metadata-driven ingestion, transformation, control, and reconciliation frameworks - Control-M or comparable batch scheduling and orchestration tools Nice to have - Teradata Global Control Framework (GCFR) or a similar control framework - Cloudera or comparable big data platforms, especially integration with EDW or lake environments - Modern hybrid warehouse/lake architecture patterns - Data observability, operational resilience, and production support experience - Broader hands-on data engineering background Highlights If you are passionate about enterprise data warehousing, and banking, this role with our client offers an opportunity to shape critical data platforms in a highly regulated environment! Originally posted on Himalayas