Partner 16, Data Engineer - Global Partnerships

As a Data Engineer for Global Partnerships at a16z crypto, you own and advance critical data infrastructure, systems, and automation that support the firm's relationships with Limited Partners. You operate with significant independence, lead complex cross-functional initiatives, and serve as a technical and strategic thought partner to the Global Partnerships team and adjacent groups. We're looking for a data leader who can translate ambiguous business needs into scalable systems, reliable pipelines, and practical insights.

What you'll do

• Lead ownership of critical systems, including the Global Partnerships core datasets and data pipelines, and serve as a technical and strategic thought partner on data practices, automation, and scalable process design
• Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems, reduce manual work, and lower 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
• 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 and process development 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
• Build visualizations and quantitative analyses that provide key insights on fund and investment performance, including projected exit scenarios and liquidity decisions
• Develop strong fluency with the firm's portfolio company information database and analyse data from the system to draw insights
• Refine and calibrate portfolio performance analyses to stay current and relevant

What you bring

• Minimum 5 years of experience in data analytics or data engineering
• Bachelor's degree in Computer Science, Data Science, Economics, Finance, Accounting, or a related technical field (preferred but not required)
• A critical eye and keen attention to detail for written prose, charts, tables, and spreadsheets, with the ability to stay on top of changing data across multiple documents
• Strong writing skills and the ability to communicate effectively in written form
• Demonstrated experience building and maintaining data workflows, automations, or integrations using 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 have

• A sense of urgency and value for professional responsiveness
• The ability to adapt on the fly and handle unforeseen developments while maintaining attention to detail and quality
• A preference for asking thorough questions upfront to avoid oversights
• The mindset to anticipate business needs, take ownership without waiting to be asked, and design solutions for scale
• The ability to break down complex processes, identify high-leverage improvements, and guide teams through change

What we offer

• Salary range of $269,000 - $314,000 (actual starting pay may vary based on experience, skills, and scope)
• Eligibility to participate in the a16z carry program and various discretionary bonus programs
• Health, dental, vision, disability, and life insurance
• 401K plan
• Vacation and sick leave

About a16z crypto

Andreessen Horowitz (a16z) is a venture capital firm founded in 2009 that backs entrepreneurs building the future through technology. a16z has over $100B under management and invests across seed, venture, and growth-stage technology companies in areas including AI, bio and healthcare, consumer, crypto, enterprise, fintech, and games. The firm has invested in companies such as Anduril, Airbnb, Coinbase, Cursor, Databricks, Deel, Figma, GitHub, Roblox, SpaceX, and Stripe.