Engineering Manager, Precompute

Addepar, Inc.; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Addepar is seeking a hands-on engineering leader to own the precompute platform roadmap, partnering with Product and engineering leadership to meet aggressive performance KPIs for daily processing, incremental processing, and query latency across enterprise clients.

You will architect, implement, and maintain engineering solutions to solve sophisticated problems; reduce complexity through data architecture and workflows, and drive global region support with scalable architectures across

Qualifications

• Extensive background in software engineering or data platform roles with high concurrency.
• Hands-on engineering leader with vector-based data processing experience.
• Experience leading global distributed engineering teams through migrations and upgrades.
• Strong cloud data infrastructure background (AWS, Databricks, Kubernetes).
• Data governance familiarity and ability to drive governance within workflows.

Responsibilities

• Own the precompute platform roadmap in partnership with Product and engineering leadership.
• Architect, implement and maintain engineering solutions to solve complex problems.
• Grow the share of query traffic served through the precompute layer.
• Drive global region support with scalable multi-region architecture.
• Advance vectorisation of the calculation layer for throughput improvements.
• Engage with operational partners to improve team efficiency.
• Incorporate Data Publisher Responsibilities and data health indicators into workflows.

Skills

Vector-based data processing

Performance engineering

Global distributed teams

Data governance

Cloud data infrastructure

Education

B.S., M.S., or Ph.D. in Mathematics/Statistics or similar numerate field

Tools

AWS

Databricks

Kubernetes

Job description

Описание:

Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore.

Задачи:

• 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

Требования:

• 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
• Finance or wealth management domain knowledge is a plus but not required
• A confident and positive outlook with low ego; high degree of ingenuity, resourcefulness, and problem‑solving skills

Our Values

• Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
• Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
• Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
• Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
• Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.

In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Applicants must have, and maintain, the right to work in the United Kingdom from the first day of employment. Please note that visa sponsorship is not available for this role.