Data Architect

Tenth Revolution Group; Welwyn; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A technology consulting firm in the UK is looking for an experienced Data Architect to join its growing data function. The successful candidate will design and implement enterprise-wide data architectures, ensuring high-quality, scalable solutions. Strong skills in data modeling, governance, and stakeholder engagement are essential. This fixed-term contract role offers a hybrid working model, requiring only two days on-site per week. Join a dynamic team and contribute to transformative projects in data management.

Qualifications

• Proven experience as a Data Architect or Solution Architect with strong data focus.
• Expertise in conceptual, logical, and physical data modelling.
• Ability to manage complex stakeholder landscapes and lead architectural design.

Responsibilities

• Design conceptual, logical, and physical data models.
• Contribute to data governance frameworks, ownership models, and stewardship processes.
• Embed data quality rules and controls across ETL/ELT and streaming pipelines.
• Lead discovery sessions to translate business needs into architectural data requirements.
• Oversee the implementation of data architecture standards across engineering teams.

Skills

Data architecture

Data modelling

Data governance

Stakeholder engagement

Data quality controls

Cloud data platforms

Job description

Data Architect - Hybrid (2 Days On‑Site Per Week)

Contract Type: Fixed‑Term Contract

About the Role

An exciting opportunity has arisen for an experienced Data Architect to join a growing data function undergoing significant transformation. The successful candidate will shape enterprise‑wide data architecture, ensuring high‑quality, well‑governed, scalable data solutions that support operational, analytical, and regulatory needs.

This role suits someone who is confident designing end‑to‑end data architectures, working across complex technology landscapes, and engaging senior business and technical stakeholders.

Key Responsibilities

Data Architecture & Modelling

• Design conceptual, logical, and physical data models.
• Create and maintain data architecture blueprints covering ingestion, integration, storage, lineage, and consumption.
• Apply appropriate modelling techniques.
• Lead design reviews and ensure models align with business needs and domain boundaries.

Data Governance & Metadata Management

• Contribute to data governance frameworks, ownership models, and stewardship processes.
• Build and maintain business glossaries, data dictionaries, and metadata standards.
• Ensure adherence to governance policies including lineage, retention, access control, and security.
• Support governance forums and drive consistent data definitions across the business.

Data Quality Architecture

• Embed data quality rules and controls across ETL/ELT and streaming pipelines.
• Develop data quality metrics, monitoring frameworks, and alerting mechanisms.
• Work with engineering teams to automate profiling, scoring, and remediation.
• Ensure data quality and lineage are embedded in reusable architectural patterns.

Stakeholder Engagement & Requirements Leadership

• Lead discovery sessions to translate business needs into architectural data requirements.
• Communicate architectural decisions to senior stakeholders.
• Navigate ambiguity and align product teams, SMEs, and governance bodies.
• Prepare high‑quality documentation and present to review boards when required.

Delivery Governance & Technical Leadership

• Oversee the implementation of data architecture standards across engineering teams.
• Provide technical guidance on integration, ingestion, transformation, orchestration, and storage.
• Conduct design assurance to meet non‑functional requirements (performance, resilience, cost).
• Coach engineers, analysts, and stewards on modelling, governance, and data quality practices.

Skills & Experience

• Proven experience as a Data Architect or Solution Architect with strong data focus.
• Expertise in conceptual, logical, and physical data modelling.
• Strong knowledge of data governance, metadata, stewardship, and glossaries.
• Experience embedding data quality controls and monitoring into pipelines.
• Familiarity with cloud data platforms (Snowflake, Databricks, Synapse, BigQuery, Redshift).
• Ability to manage complex stakeholder landscapes and lead architectural design.
• Ability to create high‑quality architectural artefacts and documentation