Senior Engineering Manager; Precompute Job Edinburgh area,City of Edinburgh Scotland UK,Software Development

We are seeking a Precompute Platform Lead to own and scale Addepar's precompute layer - the platform that pre-calculates financial analytics and transparently integrates precomputed and real-time results, delivering step-change improvements in query latency and concurrency for enterprise-scale wealth management firms
The team operates on terabyte-scale datasets, leveraging vector-oriented programming and distributed systems to enable sub-second performance. You'll lead the evolution of this capability from targeted use cases to a platform-wide performance layer - solving hard problems in incremental computation, vectorised processing, and distributed data architecture as you scale
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

Benefits

Equity:
Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
Global Hybrid Workforce:
Whether you work remotely or on-site, you'll have the opportunity to build and collaborate with colleagues around the world
Flexible Time Off:
Spend time traveling, celebrating with friends and family or relax on your schedule
Benefits Packages:
Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
Learning & Development Allowance:
Your continued growth and development are important to us
Dynamic Team:
Strong investment in the best talent at the intersection of technology and finance

Cross-team technical influence - demonstrated ability to facilitate constructive discussions around complex technical and organisational issues and drive architectural decisions across team boundaries
Data Governance experience - familiarity with publisher responsibilities, data health indicators, and building governance into engineering workflows
B.S., M.S., or Ph.D. in Mathematics, Statistics, or similar numerate field (or equivalent practical experience)
Strong cloud data infrastructure background - AWS, Databricks, Kubernetes
Extensive background in software engineering or data platform roles, with significant experience in performance engineering under large scale and high-concurrency systems
Experience leading global, distributed engineering teams through production system transformation
A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem-solving skills
Data-driven prioritisation mindset - you build and act on usage analytics and cost/performance/accuracy tradeoffs, not just receive them
Finance or wealth management domain knowledge is a plus but not required
A hands-on engineering leader with demonstrated experience in vector-based data processing