Job DescriptionWe are looking for a senior data leader who has built enterprise data platforms, master data management and semantic layers at real scale - more than once - and who can sit across the table from client data leadership as a thinking partner in the morning and be in the modelling detail with the delivery team that afternoon.
This is not an advisory role with a delivery team attached. It is a hands-on leadership role with a seat at the strategy table.
QualificationsExperience & Leadership- 15+ years in data, with the last several in senior architecture or data leadership roles
- At least two MDM programmes taken to production, with genuine accountability for match, merge and survivorship decisions - not oversight of someone else's. This is the requirement we weight most heavily.
- At least three enterprise data platform builds delivered end to end at large, complex organisations - multi-business-unit, multi-region, heterogeneous source estates
- Demonstrable experience designing and landing a semantic layer or shared business ontology that survived contact with more than one business unit
- A track record of making the case for foundation work to executive stakeholders - and holding that sequencing when the pressure is to jump straight to use cases
- Experience in environments where data arrived through acquisition and accretion rather than design
Technology DepthWe expect real, current, hands-on depth here - not familiarity.
Cloud Data Platform- Snowflake to a deep level - architecture, performance, cost, governance, data sharing
MDM- Reltio in production, or equivalent enterprise MDM (Informatica, Stibo, Tamr) with a clear view on where Reltio fits
Governance & Catalog- Collibra - catalog, lineage, policy, workflow, and how to drive adoption rather than shelfware
Data Quality- Soda, Great Expectations or equivalent, implemented as enforced controls in the pipeline
Cloud- AWS and Google Cloud - hands-on, both, with a view on when each is the right answer
Modelling & Pipelines- Dimensional and data-vault modelling
- dbt
- Orchestration
- Streaming and batch
The strongest candidates tend to have stories like these.- You have retired something - a legacy warehouse, a duplicate MDM stack, a reporting layer nobody would let go of - and you can explain how you got the organisation to agree.
- You have sat in a room with two business owners who defined the same entity differently, and landed a survivorship decision that both could live with.
- You can explain the difference between a data catalog and a semantic layer to a CFO, in terms of what each one changes about their week.
- You have turned down or deferred a use case because the underlying data was not ready - and were proved right.
- Your second domain, second market or second use case was meaningfully faster than your first, and you can say precisely why.
Additional Information- This a hybrid role, 1-2 days in office/weekly
- Salary range: $190K- $240K annual total comp (base + bonuses) + Nagarro benefits
