Data Architect

Realtime Recruitment · Recruitment agency
ContractArchitectureDublin, Ireland
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At a glance

Employment type
Contract
Workplace
On-site
Category
Architecture

Technologies & skills

Other technical skills

What you'll be doing

Seeking an experienced Data Architect to design, deliver, and evolve a large-scale Enterprise Data Warehouse (EDW) in a regulated financial services environment. The role involves architecture ownership, stakeholder collaboration, and embedding data governance in scalable solutions. On-site in Dublin, contract position.

  • Own and support architecture and design of Enterprise Data Warehouse solutions
  • Analyse source systems, data flows, business requirements, and downstream needs
  • Perform Teradata SQL investigations, technical analysis, and solution validation
  • Collaborate with stakeholders, engineers, testers, and architects to define and validate designs
  • Evaluate architectural options and recommend scalable, standards-aligned solutions
  • Produce and maintain architecture deliverables (HLDs, ADDs, design rationale, governance docs)
  • Present proposals and recommendations to Architecture Boards and governance forums
  • Embed data governance principles into solution designs

Key requirements

Must-have

  • 5+ years’ experience in Data Architecture or as Senior Data Engineering Lead with architecture ownership
  • Hands-on experience with Teradata in on-premises EDW environments
  • Advanced SQL skills for data investigation and technical validation
  • Experience with Teradata Financial Services Data Model or similar
  • Knowledge of Enterprise Data Warehousing, Data Mart design, Data Integration patterns, large-scale data platform delivery
  • Experience in Banking, Financial Services, or regulated environments
  • Understanding of regulatory data requirements (BCBS239, RDARR, Regulatory Reporting, Data Traceability, Auditability, control frameworks)
  • Data analysis and data modelling capability, including source-to-target analysis

Nice-to-have

  • Experience with Inmon-style integrated Enterprise Data Warehouse architecture

Experience: 5+ years in Data Architecture or equivalent as Senior Data Engineering Lead with architecture ownership

Role signals

Technical focus
Data Architecture, Enterprise Data Warehousing, Data Modelling, Data Governance
Architecture / system design
Indicated in the listing
Hands-on vs management
Hands-on

Full job description

Data Architect – Enterprise Data Warehouse (Teradata) Day Rate Contract

We are seeking an experienced Data Architect to join our enterprise data team, supporting the design, delivery, and evolution of a large-scale Enterprise Data Warehouse (EDW) within a highly regulated financial services environment.

This is an excellent opportunity for an experienced Data Architect—or a Senior Data Engineering Lead with demonstrable architecture ownership—to play a key role in shaping enterprise data solutions, driving architectural best practice, and supporting strategic regulatory and business initiatives.

Working closely with business stakeholders, engineering teams, architects, and governance forums, you will be responsible for delivering scalable, pragmatic, and well-governed data architecture solutions.

Key Responsibilities

  • Own and support the architecture and design of Enterprise Data Warehouse solutions.

  • Analyse source systems, data flows, business requirements, and downstream consumption needs.

  • Perform Teradata SQL investigations, technical analysis, and solution validation where required.

  • Collaborate with business stakeholders, engineers, testers, delivery leads, and peer architects to define and validate solution designs.

  • Evaluate architectural options and recommend pragmatic, scalable, and standards-aligned solutions.

  • Produce and maintain architecture deliverables including:

  • High Level Design (HLD) documents

  • Architecture Design Decisions (ADDs)

  • Solution options and design rationale

  • Assumptions, risks, and governance documentation

  • Present architecture proposals and recommendations to Architecture Boards and governance forums.

  • Embed data governance principles including metadata management, lineage, reconciliation, auditability, privacy, regulatory compliance, and controls into solution designs.

  • Support delivery teams throughout build, testing, implementation, and production issue resolution.

Essential Skills & Experience

  • Minimum 5+ years’ experience in Data Architecture, or equivalent experience as a Senior Data Engineering Lead with architecture ownership.

  • Strong hands-on experience working with Teradata in an on-premises Enterprise Data Warehouse environment.

  • Advanced SQL skills with proven experience in data investigation, issue analysis, and technical validation.

  • Practical experience using the Teradata Financial Services Data Model (FSDM) or a comparable financial services data model.

  • Strong knowledge of:

  • Enterprise Data Warehousing

  • Data Mart design

  • Data Integration patterns

  • Large-scale data platform delivery

  • Previous experience within Banking, Financial Services, or other highly regulated environments.

  • Understanding of regulatory data requirements including:

  • BCBS239

  • RDARR

  • Regulatory Reporting

  • Data Traceability

  • Auditability

  • Evidence-based control frameworks

  • Strong data analysis and data modelling capability, including source-to-target analysis and relationship modelling.

  • Working knowledge of ETL processes and technologies, ideally Informatica and/or IBM DataStage.

  • Experience designing or implementing metadata-driven ingestion, transformation, reconciliation, control, or data delivery frameworks.

  • Knowledge of Control-M or similar enterprise scheduling and orchestration tools.

  • Excellent stakeholder management skills with experience presenting solutions to senior business stakeholders, Architecture Boards, governance forums, and peer architecture teams.

  • Demonstrated ability to produce high-quality governance-ready architecture documentation.

  • Strong analytical thinking, sound judgement, and the confidence to challenge constructively while driving decisions to successful outcomes.

  • Experience with, or strong appreciation of, an Inmon-style integrated Enterprise Data Warehouse architecture.

For more information on this role please apply within.

Interview prep pack

Grounded in this listing. Use it to prepare examples before you apply.

Your interview focus

You will be assessed on your ability to architect and deliver Teradata-based Enterprise Data Warehouse solutions in a regulated financial environment. Expect focus on data modelling, regulatory compliance, stakeholder engagement, and producing governance-ready documentation.

  • Teradata EDW architecture·High
  • Financial data models·High
  • Regulatory compliance·High
  • Stakeholder management·High

Only have 30 minutes?

Follow a focused preparation plan based on this job.

Start 30-minute prep

Your 30-minute plan

  1. Review Teradata EDW and FSDM Experience

    0–10 min

    Summarise your most relevant Teradata EDW projects and practical use of financial services data models.

  2. Regulatory Compliance Refresher

    10–17 min

    Revisit key points of BCBS239, RDARR, and how you have addressed regulatory requirements in past solutions.

  3. Prepare Documentation and Stakeholder Examples

    17–25 min

    Select and outline examples of architecture documents and successful stakeholder engagements.

  4. ETL and Metadata-driven Frameworks

    25–30 min

    List your experience with Informatica, DataStage, and metadata-driven ingestion or transformation frameworks.

Likely questions

, 8 items

Priority reflects how strongly this topic is emphasised in the job listing, not whether it will be asked.

Talking points

, 6 items
  • Teradata Enterprise Data Warehouse Architecture

    You must demonstrate deep experience designing and supporting Teradata-based EDW solutions, as this is the core platform for the role.

  • Financial Services Data Models (FSDM)

    The role requires practical experience with Teradata FSDM or similar, which is essential for aligning data architecture with business and regulatory needs.

  • Regulatory Data Requirements

    You will need to embed compliance (e.g., BCBS239, RDARR) into your designs, so understanding these frameworks is critical.

  • Data Modelling and Source-to-Target Analysis

    Strong data modelling and the ability to map and analyse data flows are central to delivering robust EDW solutions.

  • SQL and Data Investigation

    Advanced SQL skills are required for technical validation, troubleshooting, and data analysis within Teradata.

  • ETL and Metadata-driven Frameworks

    Experience with ETL tools (Informatica, DataStage) and metadata-driven processes is important for data integration and governance.

What to research

, 3 items
  • Teradata EDW Architecture in Financial Services

    Expect deep questions on your ability to design and support Teradata-based EDW solutions tailored for regulated financial environments.

  • Regulatory Data Compliance and Governance

    Be ready to discuss how you embed regulatory requirements and governance (e.g., BCBS239, RDARR) into architecture and documentation.

  • Stakeholder Engagement and Governance Documentation

    Prepare to demonstrate your skill in producing governance-ready documentation and presenting to senior stakeholders and boards.

Questions to ask

, 6 items
  1. What are the main business drivers for the current EDW evolution?

    Why ask this? Clarifies the strategic priorities shaping your work.

  2. How is the architecture team structured and how do they interact with delivery teams?

    Why ask this? Reveals collaboration and reporting lines.

  3. Which regulatory frameworks are most critical for upcoming projects?

    Why ask this? Helps you understand compliance priorities and technical focus.

  4. What is the process for presenting and approving architecture proposals?

    Why ask this? Shows how your documentation and recommendations will be evaluated.

  5. What is the current technology stack for ETL and orchestration, and are there plans to change it?

    Why ask this? Informs you about tool usage and potential future learning needs.

  6. How is metadata management and data lineage currently handled?

    Why ask this? Gives insight into governance maturity and technical challenges.

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Apply NowApply before: 5 Oct 2026