DigitalOcean · 1 month ago
Director of Engineering, Data Cloud Platform
DigitalOcean is a cutting-edge technology company focused on simplifying cloud infrastructure. They are seeking a Director of Engineering for their Data Cloud Platform to lead a dynamic team in building scalable data infrastructure and defining the technical vision for the platform.
Cloud ComputingDevOpsSaaSVirtualizationWeb Hosting
Responsibilities
Define the long-term product and technical strategy for DigitalOcean’s Data Cloud Platform, integrating open-source tools like Apache Spark, Airflow, Iceberg, dbt with modern cloud data services
Architect and build core platform services including scalable data lakes, ingestion frameworks, ELT/ETL pipelines, distributed compute, governance, metadata management, and observability tooling
Drive engineering best practices across performance, scalability, and cost optimization for data workloads at petabyte scale
Build and lead a high-performing, globally distributed engineering team—including senior engineers, managers, cloud operators, and data infrastructure specialists
Collaborate cross-functionally with Product, Design, AI/ML, Platform, Storage, and GTM teams to ensure cohesive and powerful customer-facing data experiences
Partner with external vendors and internal stakeholders to evaluate integration and partnership opportunities with leading data ecosystem platforms (e.g., Snowflake, Databricks, AWS Glue)
Champion engineering excellence and developer simplicity, reflecting the core ethos of DigitalOcean
Qualification
Required
10–15+ years in software or data engineering, including 5+ years managing managers and leading large-scale distributed systems
Proven background building data platforms or analytics systems used by thousands of customers
Proficiency with Spark, Flink, Kafka, Airflow, dbt, Iceberg/Delta/Hudi, Trino/Presto, Kubernetes, S3-compatible object stores, and platforms like BigQuery, Snowflake, or Databricks
Strong foundation in distributed systems, data modeling, and compute/storage separation
Deep understanding of ELT/ETL frameworks, schema evolution, governance, and open data formats (Parquet, ORC, Avro)
Experience designing multi-tenant, cloud-native systems
Proven ability to build and mentor distributed teams across geographies
Skilled in aligning vision, execution, and culture
Ability to partner with product, AI/ML, platform, and go-to-market teams to define and deliver end-to-end data experiences
Passion for simplifying complex infrastructure and building self-serve, API-driven, and UI-based data products for developers and cloud-native businesses
BS/MS in Computer Science or Engineering, or equivalent experience
Preferred
Advanced coursework in distributed systems or data engineering
Benefits
Reimbursement for relevant conferences, training, and education
Access to LinkedIn Learning's 10,000+ courses
Employee Assistance Program
Local Employee Meetups
Flexible time off policy
Bonus in addition to base salary
Equity compensation to eligible employees
Equity grants upon hire
Option to participate in our Employee Stock Purchase Program
Company
DigitalOcean
DigitalOcean provides a cloud platform to deploy, manage, and scale applications of any size.
H1B Sponsorship
DigitalOcean has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (30)
2024 (8)
2023 (9)
2022 (22)
2021 (11)
2020 (2)
Funding
Current Stage
Public CompanyTotal Funding
$1.92BKey Investors
Global Secure InvestAccess IndustriesKeyBanc Capital Markets
2025-08-12Post Ipo Debt· $625M
2025-05-05Post Ipo Debt· $800M
2021-09-13Post Ipo Equity· $34.91M
Recent News
2026-01-03
2025-12-17
2025-12-16
Company data provided by crunchbase