Jimmy Technologies
Senior EDW Data Architect
Skills
22 days ago
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Important information
Contract type:
Freelance / Contract
Salary:
€79,040 – €89,440 / year
Location:
Sofia, Bulgaria
Work mode:
Remote
Published on:
1 October 2026
What they need
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
Job 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 modeling 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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