Associate Distinguished Engineer - Senior Data Leader
About the role
We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 37 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Responsibilities
We 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.
Qualifications
- 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.
- 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
Skills
- 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
Pay
Salary range: $190K- $223K annual total comp (base + bonuses) + Nagarro benefits
Schedule
Hybrid role, 1-2 days in office/weekly