
Data Architect, 6 months FTC, Hybrid 2 days Liverpool/Glasgow
Quick overview
Job description
Data Architect – 6 month FTC (potential full‑time), Hybrid (2 days) – Liverpool / Glasgow
Job Summary – In this role you will define data structure, modelling and connectivity across the organisation ensuring consistency, scalability and strategic alignment. You will provide data‑focused architectural direction that enables high‑quality engineering delivery, supports governance and promotes the effective use of data across the business.
What you’ll be responsible for
- Set principles and patterns for how data is structured, modelled and connected.
- Develop and maintain the roadmap for the future‑state Enterprise Data Platform.
- Evaluate and recommend modern data architectures such as data mesh, data fabric and data lakehouse.
- Provide_detected data‑centric architectural leadership within programmes, projects and delivery squads.
- Define and maintain conceptual, logical and physical data models.
- Review data aspects of engineering designs and ensure.At alignment with dataStandards.
- Collaborate with Data Engineering, Data Governance and IT architecture teams on data‑related decisions.
- Act as a senior advisor on data architecture across the organisation.
About you
Deep experience in data architecture and data modelling across enterprise environments. Strong knowledge of modern data platforms and cloud‑based data services. Understanding of data integration and transformation patterns. Knowledge of modern data concepts such as Data Products and Data as a Product. Ability to influence stakeholders and collaborate with IT architects. Familiarity with data engineering tooling such as Snowflake, DBT, Airflow and Fivetran.
Technology Stack
- Cloud-based Big Data Platform – Snowflake
- Databases – SQL Server, Oracle, NoSQL
- Data integration tools – MuleSoft, Fivetran, SSIS
- Cloud services – AWS and/or Azure
- Visualisation tools – Power BI
- Data modelling tools – Python, R, Alteryx, Business Objects
- Remote working, Office 365 productivity stack
Seniority level
Mid‑Senior
Employment type
Full‑time
Job function
Information Technology
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