Lead Data Architect
Listed on 2025-12-21
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IT/Tech
Data Engineer
Lead Data Architect
Join to apply for the Lead Data Architect role at Kanzlei Ganz Gärtner Lindberg Slania.
We’re looking for a Lead Data Architect to join our Technology Strategy and Architecture practice. This strategic role deals with data holistically across an organisation. Lead Data Architects drive digital transformation from a data perspective, supporting clients to define the vision for data in their organisation. They ensure that data is managed properly through data landscaping, data cataloguing, data design, and data standards.
You will bring a pragmatic and user‑centered approach to data architecture, ensuring that data architecture, governance, processes and technologies meet the needs of users and stakeholders.
In This Role, You Will- Guide and support clients to define a data strategy aligned with the broader organisational strategy.
- Discover and document client data ecosystems and design future‑state enterprise data architecture.
- Champion, set standards, design governance, and define ways of working for data.
You will operate as a trusted advisor, liaising with senior client stakeholders. You will collaborate with multidisciplinary teams across design, data engineering, technology, and delivery, lead smaller engagements or play a senior role on larger ones, and be the source of oversight and advice on data for the wider team and the client. You also support development of junior colleagues while contributing to practice improvement and business development.
Responsibilities- Collaborate with client stakeholders to design data strategies aligned with organisational strategy and goals.
- Analyse client data landscapes, document current‑state data systems, and conduct Data Maturity Assessments, mapping data assets, information flows and user needs.
- Design interoperable data models and solutions to meet client needs, advising on selection and implementation of data products and tools.
- Develop data standards, create data catalogues, and design governance processes to maintain data quality and usability.
- Facilitate workshops and interviews with clients and users to understand user needs and organisational priorities.
- Create documentation, visual artefacts and architecture diagrams including data landscapes, data flows, and catalogued data products.
- Develop prioritised roadmaps to implement data strategy, including options appraisals and evidence‑based recommendations.
- Advise on data capabilities and operating models, providing support to build data literacy where necessary.
- Advise on AI adoption, assessing AI readiness and guidance on data to support AI implementation.
- Develop and maintain strong client relationships, building trust with senior stakeholders.
- Communicate complex technical information to non‑technical stakeholders both in‑person and through a variety of media.
- Lead project work streams or small/medium client work in data‑related engagements, managing uncertainty and ambiguity on behalf of clients and our teams.
- Lead by example, holding responsibilities for an inclusive team culture and ensuring projects deliver the most impact and value to our clients.
- Contribute to continual development of our technology and data practice, mentoring or line‑managing junior consultants and contributing to internal learning.
- Contribute to business development and marketing activities, providing input into bids and proposals with a focus on data‑related content.
- Maintain a strong understanding of emerging trends and technologies in the data space.
Professional knowledge and experience.
Essential- Successful track record of designing data architecture and data models.
- Experience developing and reviewing data architecture artefacts such as data landscapes, enterprise conceptual models, and data flow diagrams.
- Proven experience implementing data governance and overseeing data life cycles.
- Experience designing, implementing, or evaluating organisational data strategies.
- Strong verbal and written communication skills and experience presenting technical concepts and recommendations to both technical and non‑technical audiences.
- Demonstrable knowledge of a wide range of data solutions, common data platforms, emerging…
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