Partner 16, Data Engineer - Global Partnerships

Andreessen Horowitz•San Francisco, CA

20h•Hybrid

About The Position

The Global Partnerships Data Engineer owns and advances critical data infrastructure, systems, and automation that support the global partnerships activities of Andreessen Horowitz. This role operates with significant independence, leads complex cross-functional initiatives, and serves as a technical and strategic thought partner across Global Partnerships and adjacent teams. We’re looking for a data leader who can translate ambiguous business needs into scalable systems, reliable pipelines, and practical insights. We are open to candidates based in the San Francisco Bay Area.

Requirements

Minimum of 5 years of experience.
Demonstrate a critical eye and keen attention to detail for written prose and charts, tables and spreadsheets and the ability to stay on top of changing data/facts across multiple documents with ease
Strong writing skills: The ability to communicate effectively through the written word is a critical skill
Demonstrated experience building and maintaining data workflows, automations, or integrations using tools such as Python, Javascript, or a comparable programming language
Proven ability to lead ambiguous, cross-functional projects with substantial autonomy and influence stakeholders across technical and business teams
Experience owning or administering complex data pipelines or another critical business system, with a focus on data completeness, governance, and integration
Low ego, high empathy, and the capacity to collaborate effectively with diverse teams

Nice To Haves

Preferable past experience includes but is not limited to, data analytics or data engineering
Bachelor's degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred but not required
You have a sense of urgency and value the courtesy of professional responsiveness (this is super important as speed is a form of client service)
You are able to adapt on the fly and handle unforeseen developments with ease. You are also able to do this without compromising attention to detail and quality
You are a “measure twice, cut once” type of person – you are comfortable and have a preference for asking more questions upfront to avoid an oversight down the road
You strive to be an enabler who gives the team maximum leverage - there is no job too big, no job too small
You do what you say you are going to do, when you say you are going to do it
You continually search for new ideas and means of improvement
You are a dedicated team player that is willing to wear multiple hats
Most importantly, you take your work seriously but not yourself too seriously
You anticipate business needs, take ownership without waiting to be asked, and design solutions for scale
You can break down complex processes, identify high-leverage improvements, and guide teams through change
You are a trusted partner and emerging leader whom peers consult on data practices, systems, and efficiency

Responsibilities

Own and advance the Global Partnerships data ecosystem
Lead ownership of critical systems, including the Global Partnerships core datasets and data pipelines.
Serve as a technical and strategic thought partner to Global Partnerships and adjacent teams on data practices, automation, and scalable process design
Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems and reduce manual work and error rates
Uphold the highest standards of data precision and monitor and rectify discrepancies across different platforms
Evaluate and implement tools and integrations to improve visibility, connectivity, and decision-making
Champion AI adoption across Global Partnerships
Identify, pilot, and scale AI tools and agentic workflows that remove manual work and give the team leverage, then drive team-wide adoption through training, documentation, and change management
Lead automation, process development, and operational scale.
Enhance processes through automation to achieve data accuracy, reliability, and speed
Act as the team's AI thought partner, staying current on emerging tools and translating them into concrete, high-leverage improvements to LP-facing and internal processes
Leverage data to enable practical insights on our portfolio and the industry
Build visualizations and quantitative analyses that provide key insights on fund and investment performance including projected exit scenarios, liquidity and follow-on decisions
Develop strong fluency with the firm’s portfolio company information database and be able to manipulate and analyze data from the system to draw insights
Refine and calibrate portfolio performance analyses to stay current and relevant