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Senior Teradata Architect
Jimmy Technologies. Own and support data architecture design for enterprise data warehouse delivery .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data architecture and engineering, with a strong focus on Teradata SQL, data governance, and regulatory compliance. Capable of producing high-level designs and presenting solutions to stakeholders while ensuring alignment with business requirements and industry standards.
Highest-signal resume keywords
Teradata SQLData ArchitectureData GovernanceFinancial Services Data ModelStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData ModellingEDW DesignSQL QueryingSolution ValidationETL Delivery ProcessesMetadata-Driven IngestionData Integration PatternsArchitecture Design DecisionsRegulatory Reporting
Soft Skills
Independent OwnershipConstructive ChallengeDecision-Making
Tools & Technologies
Control-MTeradataBig Data PlatformsMetadata-Driven Frameworks
Industry Keywords
BankingFinancial ServicesRegulatory Data EnvironmentsBCBS 239RDARRData TraceabilityAuditability
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- 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 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
- Support metadata-driven delivery frameworks
- Support delivery teams through build, testing, implementation, and issue resolution
- Approximately 50% hands-on work involving SQL investigation, detailed data analysis, solution validation, and delivery support
Requirements
What you’ll need- 8+ years' experience in data engineering and architecture
- 5+ years in data architecture, as a Data Architect or 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
- Proven ability to produce governance-ready artefacts (HLDs, ADDs) and present them to Architecture Boards
- Strong stakeholder management, independent ownership, constructive challenge, and ability to drive decisions to resolution
- Mandatory: Teradata (on-prem EDW), advanced SQL, Teradata FSDM or equivalent financial services data model, Inmon-style integrated EDW architecture, ETL delivery processes and tools, metadata-driven ingestion/transformation/control/reconciliation frameworks, and Control-M or comparable batch scheduling and orchestration tools
- Nice to have: Teradata Global Control Framework (GCFR) or similar control framework
- Nice to have: Cloudera or comparable big data platforms
- Nice to have: modern hybrid warehouse/lake architecture patterns
- Nice to have: data observability, operational resilience, and production support experience
- Nice to have: broader hands-on data engineering background
Benefits
Comp & perks- Long-term remote-first contract position in the EU
- Occasional on-site participation in client workshops
- Contract through December 2026, with extension to 2027