Job description
Senior Data Architect
Overview
The Senior Data Architect is a strategic leader responsible for designing, building, and maintaining robust data architectures that enable the organization to maximize value from its data assets. This role combines technical expertise, leadership, and business acumen to drive data transformation, ensure data governance, and support advanced analytics and AI initiatives. Critically, the Senior Data Architect will also play a key role in developing and shaping data architecture propositions that can be taken to market, supporting the firm’s growth and positioning as a trusted advisor and innovator.
Key Responsibilities
1. Data Architecture Design: Lead the design and implementation of scalable, high-performance data architectures (including Big Data, Relational, NoSQL, OLAP platforms, Databricks, Fabric, Snowflake and MDM platforms) to support business intelligence, analytics, and operational needs.
2. Data Strategy & Governance: Develop and enforce best practices for data modelling, data governance, and metadata management. Ensure compliance with regulatory standards and internal policies.
3. Technical Leadership: Provide oversight and guidance to other data architects and engineering teams. Collaborate with technical architects to ensure systems are designed according to organizational standards.
4. Stakeholder Collaboration: Work closely with business leaders, department heads, and cross-functional teams to translate business requirements into scalable data solutions.
5. Data Platform Development: Architect and implement advanced data platforms to support analytics, machine learning, and AI applications. Lead the development of data pipelines and products that enhance business processes and decision-making.
6. Quality Assurance: Apply quality assurance techniques to data structures and models. Audit databases regularly to maintain data quality and security.
7. Innovation & Continuous Improvement: Stay abreast of industry trends and emerging technologies. Evaluate new data sources and tools for integration and improvement.
Market Proposition Development
8. Proposition Design: Develop, refine, and package AI driven data architecture propositions that address market needs, leveraging standardized frameworks, reference architectures, and repeatable accelerators.
9. Go-to-Market Support: Collaborate with business development and client teams to position data architecture offerings, articulate value propositions, and support proposal development and client pitches.
10. Thought Leadership: Contribute to the creation of market-facing collateral, whitepapers, and presentations that showcase the firm’s data architecture capabilities and innovations.
11. Client Engagement: Engage with clients to understand their data challenges, present tailored architecture solutions, and demonstrate how propositions can deliver business value.
12. Cross-Sector Leverage: Bring best practices and insights from across sectors to continuously enhance and differentiate the firm’s data architecture propositions.
Desired Skills
13. Expertise in data integration, data warehousing, and analytics platforms.
14. Familiarity with data governance frameworks and regulatory compliance.
15. Experience with metadata management, data dictionaries, and data quality assurance.
16. Ability to lead and mentor technical teams.
17. Experience with MDM architecture patterns
18. Experience developing or supporting market-facing propositions or consulting offerings.
19. Certifications such as AWS, TOGAF, CDMP, or similar are a plus.
Personal Attributes
20. Strategic thinker with strong analytical and problem-solving skills.
21. Detail-oriented, organized, and able to manage multiple priorities.
22. Collaborative and able to influence at all levels of the organization.
23. Curious with a desire to continually develop personal skills and knowledge
Why KPMG?
24. Work with the most exciting clients: We help organisations across industries, from Financial Services, to Retailers, Public Sector and third sector. Both in the UK, and globally.
25. Work on the most exciting projects: We help our clients solve their biggest problems. We spend time getting to know their organisations and we work in multi-disciplinary team developing complete solutions that drive impact.
26. Spend time with brilliant, collaborative colleagues: We are often described as one of the most collaborative team clients (and colleagues) come across. Working for KPMG means that you will work alongside some of the most brilliant, and collegiate minds in the industry.
27. Be part of a world leading innovator: KPMG Data & Technology regularly features as a leader or winner in the most prestigious analyst league tables. Get involved in some of the most innovative projects delivered collaboratively with our clients.
28. Take charge of your career: With world leading training and development programmes, a culture of exploring your personal interest and opportunities across sectors, functions and areas of expertise, you will have ample opportunity to shape your career with KPMG.
29. Feel a sense of achievement: Our approach to working with clients means that we make a real difference.
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