Data Architect / Engineering Lead
Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 28, 2026.
Join Rotageek as a Data Architect / Engineering Lead, where you'll shape the future of our analytics estate. In this senior technical role, you'll own the architecture end to end, establish data contracts with Engineering, and define how data is modeled across various layers. You'll also lead the Data Engineering discipline, represent Data in cross-functional decisions, and work closely with our global team in Australia. Enjoy benefits like unlimited holiday, a WFH setup budget, and private medical insurance.
Missions
- Own the analytics data architecture end to end, including layers, modelling conventions, data contracts and the governed semantic layer.
- Build the foundational curated layer yourself, creating dimensional models with clear grain, conformed dimensions and the flexibility to answer cross-subject business questions.
- Establish and maintain data contracts with Engineering, helping the organisation manage source changes without silently breaking downstream data.
Profil recherché
- Strong SQL and experience with dbt or an equivalent transformation and modelling framework- Sound judgement about which logic belongs in the warehouse, BI layer or application
- Strong warehouse architecture experience, including layered models from raw through to staged and curated data, plus a governed semantic layer
- The ability to explain complex data and architecture decisions clearly to technical and non-technical audiences
- Functional or discipline leadership experience, setting standards, raising the technical bar and mentoring without relying on formal line management
- Experience designing data contracts with Engineering, covering schema, semantics, ownership and freshness
- Deep, hands-on experience in data modelling for analytics, including dimensional modelling, facts, conformed dimensions, stated grain, slowly changing dimensions and entity resolution
- Real ownership of a curated data layer that other people use and trust
- Practical experience with multi-tenant analytics, row-level or attribute-level security, PII classification and GDPR-sensitive data
- Experience treating analytics as software, including Git, CI/CD, automated testing, environment parity, observability, SLOs and cost awareness
- Experience with Snowflake or comparable platforms such as BigQuery, Redshift or Databricks
- Experience with a specific governed semantic-layer platform such as dbt Semantic Layer, LookML, ThoughtSpot or a comparable tool
- Experience supporting a migration away from legacy BI or reporting technology
- Experience in HR, workforce management or a related operational data domain
- Experience working across UK and Australia data-residency boundaries
- You don’t need experience with every platform listed above. We’re more interested in your modelling depth, architectural judgement, ability to create shared standards and enthusiasm for building data products that people can trust
- You are conscious of security, cost and data quality from the start, rather than treating them as later hardening work
- You treat data as a production system, with the operational rigour you would expect from a critical application
- You mentor through the work, share knowledge generously and turn mistakes into learning through blameless review
- You create leverage through standards, documentation and self-service, so analysts, engineers and AI tools can work effectively without constant intervention
- You define the approach clearly, make trade-offs visible and keep the architecture understandable to the people who build on it
- You are business-minded, connecting the path from question to model and pushing back on complexity that does not serve the outcome
- You think in grains, conformed dimensions and semantic layers, modelling with intent rather than reflex