Architecture and delivery of a unified platform spanning: Ingestion (connectors, CDC, streaming), Storage (object, OLAP, vector, graph), Processing (ELT pipelines, real-time and batch), Query & analytics (SQL, hybrid search, RAG), Governance (catalog, lineage, versioning, access control)
Deliver GA-grade services with strong SLAs, cost efficiency, and simplicity
Drive roadmap aligned to Digital Native Enterprise (DNE) customers
Build and scale a high-performing global organization (US and India)
Partner deeply with Product, GTM, and Platform Engineering
Establish clear metrics: adoption, retention, ARPU, performance, reliability

Proven track record of building and operating cloud-scale data platforms (OLAP, lakehouse, streaming, or ML systems), with strong architectural judgment across storage, processing, and query layers
Experience integrating open-source ecosystems (e.g., Spark, Airflow, dbt) into managed cloud services at scale
Experience with AI/ML data pipelines (feature stores, embeddings, RAG)
Demonstrated ability to operate in ambiguity, make high-quality decisions with incomplete data, and drive multi-quarter execution with measurable outcomes
Proven experience scaling engineering organizations and delivering under real-world constraints
Critical requirement: You have personally driven complex distributed systems from concept to production—not just managed teams that did.

We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world.
We prioritize career development. At DO, you’ll do the best work of your career.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few.
We reward our employees. The salary range for this position is based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance.
DigitalOcean is an equal-opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Vice President, Data Cloud

Key skills