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Open nowPosted 35 hours ago

Senior EDW Data Architect

jimmytechnologies3 open roles

Pay
€38 – €43 an hour
Where
Remote job, Remote
Work mode
Remote
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Your applicationOpen nowSenior EDW Data Architectjimmytechnologies · Remote job, Remote

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The clock on this job

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7.8% of postings close within 7 days. Measured by our own scanner across the market. jimmytechnologies postings stay open a median of 1 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 35 hours ago

jimmytechnologies median: 1 days open

The posting

We are looking for a Senior EDW Data 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
  • 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
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