Senior Engineering Manager (Precompute)

Addepar, Inc.; City of Edinburgh; Hybrid; GBP 120,000 - 190,000; Full time

Job summary

Addepar, Inc. is seeking a Precompute Platform Lead to own and scale the precompute layer, delivering sub-second latency for enterprise clients. You will guide architecture, drive performance, and partner with Product and Engineering to meet aggressive KPIs and global deployment needs.

The role requires leading global teams, implementing vectorised data workflows, and integrating governance into data creation processes while expanding the platform’s reach across regions.

Qualifications

• Cross-team influence; drive architectural decisions across boundaries.
• Familiarity with data publisher responsibilities and data health indicators.
• Advanced degree in Mathematics/Statistics or equivalent practical experience.
• Strong cloud data infrastructure background: AWS, Databricks, Kubernetes.
• Extensive background in software engineering or data platform roles with performance engineering at scale.
• Experience leading global, distributed engineering teams through production system transformation.
• Hands-on engineering leadership with vector-based data processing.

Responsibilities

• Own the precompute platform roadmap with Product and engineering leadership.
• Architect, implement, and maintain scalable precompute solutions.
• Drive integration with core compute infra and regional expansion across deployments.
• Advance vectorisation of calculation layer for throughput improvements.
• Foster team efficiency and collaboration with operational partners.
• Incorporate Data Publisher Responsibilities to ensure Data Health.

Skills

Cross-team influence

Data governance

Vector-based processing

Performance engineering

Distributed engineering leadership

Cost/performance analytics

Cloud data infra (AWS)

Architectural leadership

Education

Mathematics/Statistics or numerate field

Tools

AWS

Databricks

Kubernetes

Job description

• 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