At a glance
- Workplace
- Remote
- Location
- Edinburgh · Remote
- Visa sponsorship
- Visa sponsorship not offered
About the role
- Addepar is seeking a Precompute Platform Lead to own and scale the precompute layer, which pre-calculates financial analytics and integrates precomputed and real-time results.
- The role delivers step-change improvements in query latency and concurrency for enterprise-scale wealth management firms using terabyte-scale datasets.
- You will lead the evolution of this capability from targeted use cases to a platform-wide performance layer.
Responsibilities
- Own the precompute platform roadmap in partnership with Product and engineering leadership, defining and meeting aggressive performance KPIs for daily processing, incremental processing, and query latency across enterprise clients
- Architect, implement, and maintain engineering solutions to solve sophisticated problems; reduce complexity through the adoption of strategic data architecture and workflows
- Drive integration with core compute infrastructure, growing the share of query traffic served through the precompute layer
- Continue global region support, building a repeatable architecture that scales across Addepar's multi-region deployment
- Drive deeper vectorisation of the calculation layer, moving compute-intensive factor math from row-by-row execution into the columnar engine for step-change throughput improvements
- Improve team efficiency by engaging with operational partners
- Drive Data Governance outcomes by integrating Data Publisher Responsibilities into precompute data creation workflows and achieving Data Health indicators for precompute artifacts
Requirements
- B.S., M.S., or Ph.D. in Mathematics, Statistics, or similar numerate field (or equivalent practical experience)
- Extensive background in software engineering or data platform roles, with significant experience in performance engineering under large scale and high-concurrency systems
- A hands-on engineering leader with demonstrated experience in vector-based data processing
- Experience leading global, distributed engineering teams through production system transformation
- Strong cloud data infrastructure background — AWS, Databricks, Kubernetes
- Cross-team technical influence — demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundaries
- Data-driven prioritisation mindset — you build and act on usage analytics and cost/performance/accuracy tradeoffs, not just receive them
- Data Governance experience — familiarity with publisher responsibilities, data health indicators, and building governance into engineering workflows
- Must have, and maintain, the right to work in the United Kingdom from the first day of employment
Preferred qualifications
- Finance or wealth management domain knowledge is a plus but not required
Skills
- AWS
- Databricks
- Kubernetes
