Data Architect

Instem
Stafford
2 months ago
Applications closed

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Location: Stone, Staffordshire Hybrid working, 2 days a week in our Stone Office


Status: Permanent, Full Time


Package: Competitive Salary, Flexible Working, Development & Opportunity (Personal & Technical), Private Medical (Optical & Dental options), Matching Contributory Pension, 25 Days Leave + Public Holidays + Buy and Sell Scheme, Life Insurance, Referral Scheme, Employee Assistance Program, Benefits Hub.


Who’s Instem? Well, we’re a global provider of bespoke industry-leading software solutions and services, which facilitate the pre‑clinical, and clinical phases of the drug discovery process. We have over fifteen products in our portfolio, used by over 700 pharmaceutical clients (including all the top 20!)


What’s the culture/environment like? For a global business of over 400 staff, we very much have a family feel. You’ll be part of a friendly, communal, solution based, flexible environment, where you’ll feel empowered, valued and accountable. We’ll invest in you as a person and encourage you to take part in companywide workshops for wellbeing, mental health, critical conversations, and strengths.


Why are we hiring a Data Architect? We are seeking an experienced and hands‑on Data Architect to help shape the future of our data landscape – across both our software products and internal enterprise systems.


What are you responsible for?

  • Data architecture and modelling
  • Analyse and document the current data model across products and platforms
  • Define a modern, future‑ready data architecture that supports scalability, interoperability, and reuse across customer environments (including multi‑tenant data models)
  • Develop and maintain canonical and conceptual data models, supporting common understanding across teams
  • Work with product teams to ensure data models support both functional needs and data governance principles
  • Data management and best practice
  • Establish and champion data management best practices, covering data quality, naming conventions, lineage, and lifecycle management
  • Promote standards for metadata management, master data management (MDM), and reference data
  • Define and advocate for data governance frameworks aligned to business priorities and regulatory requirements
  • Help teams implement best practices through hands‑on demonstration, prototype data models, and reusable design patterns
  • Collaboration and enablement
  • Work closely with architects, product managers, and engineering leads to embed sound data design principles into products and services
  • Partner with business stakeholders and analysts to align data definitions, semantics, and business rules
  • Mentor and upskill developers and analysts in data architecture, modelling tools, and practices
  • Support architecture governance through participation in the Architecture Review Board and related forums

Skills, Knowledge, Experience

  • Proven experience as a Data Architect, Senior Data Modeller, or Data Engineering Lead in a complex software or SaaS environment.
  • Deep understanding of conceptual, logical, and physical data modelling
  • Hands‑on experience with relational and NoSQL databases technologies (e.g. SQL Server, PostgreSQL, MongoDB)
  • Strong grasp of multi‑tenant data architectures, data isolation, and schema design for configurable solutions
  • Experience designing and maintaining enterprise or product‑level data models
  • Working knowledge of data integration patterns, APIs, and ETL/ELT processes
  • Familiarity with data governance frameworks (e.g. DAMA‑DMBOK) and metadata management concepts
  • Strong communication and collaboration skills – able to bridge the gap between technical teams and business stakeholders

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.


Instem stores and processes data using an Applicant Tracking System (ATS). For more information regarding our privacy policy use the following link: https://www.instem.com/privacy/


Seniority level

Mid‑Senior level


Employment type

Full‑time


Job function

Engineering and Information Technology


Industries

Research Services


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