Lead Enterprise Data Architect
Role details
Job location
Tech stack
Job description
The Lead Enterprise Data Architect provides strategic leadership and technical direction for SGN's data architecture, ensuring data is managed as a strategic asset. This role provides technical leadership across data platforms, AI and analytics, and integration capabilities, ensuring data is governed, resilient, high quality, and aligned to organisational and industry standards. The Lead Enterprise Data Architect provides leadership and line management to the data architecture team, setting direction, priorities, developing the capability, and ensuring consistent and high-quality delivery across the data function. They will act as key advisor to business and technology leaders, shaping the future state of data architecture across SGN.
We deliver safety, warmth, and comfort to homes and businesses. Every role, whether in the office or on the front line, plays a key part in this mission. Here's how you will contribute…
- Define and maintain the enterprise data architecture vision, standards, and roadmap.
- Develop target-state data architectures covering data models, data flows, master data, reference data, metadata, security, and data governance.
- Ensure alignment of data strategy with enterprise architecture, digital transformation programmes, and business objectives.
- Lead development of architectural artefacts including conceptual, logical, and physical data models.
- Provide architectural leadership for data platforms including data warehouses, data lakes, lakehouses, and integration technologies.
- Evaluate and recommend technologies, tools, and patterns (e.g., data mesh, event-driven architecture, API-first design).
- Design scalable, secure data solutions leveraging cloud platforms (Azure, AWS, or Oracle).
- Ensure data architecture supports advanced analytics, BI, AI/ML, and operational reporting.
- Oversee data architecture aspects of major change initiatives and programmes.
- Produce high-quality architecture deliverables and ensure they are integrated into delivery plans.
- Review solution designs to ensure alignment with enterprise data standards.
- Troubleshoot complex data issues and provide expert-level guidance on data modelling and integration approaches.
Requirements
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Extensive experience in establishing and developing an enterprise data architecture practice, ideally within complex organisations.
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Demonstrable technical expertise spanning:
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Cloud data platforms and ecosystems: e.g. Microsoft Azure, AWS
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Data engineering and integration: ETL/ELT, Orchestration, Batch and streaming architectures, event driven and messaging platforms, API-first design, Integration frameworks.
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Database & storage technologies: SQL Server, Oracle, NoSQL, Analytical datastores
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Data governance & compliance: data security architecture, role-based access, encryption, regulatory frameworks (GDPR, IS27001, NIST), cloud security patters and identify management (Azure AD)
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Enterprise Architecture Frameworks: TOGAF, Zachman, DMBoK
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Engineering and Scripting credibility: SQL, Python, Git & DevOps
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Data Modelling: Conceptual, logical and physical, relational, dimensional and NoSQL, canonical and enterprise models and associated tooling.
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To be able to build effective and collaborative relationships across a range of stakeholders, and communicate impactfully, arcticulating complex ideas and information clearly
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To be able to influence critical decisions and applies experience to interpret complex situations and offer authoritative advice.
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Demonstrate ability to turn business problems into data designs spanning different business areas and organisational objectives, while implementing common solutions for cohesion across the estate.
Benefits & conditions
Competitive pension scheme - Enhanced maternity/paternity pay - Life assurance - HolidayPlus - Cycle2work Scheme & more
