Data Platform Engineer

DataHub is an AI Data Context Platform adopted by over 3,000 enterprises, including Apple, CVS Health, Netflix, and Visa. Innovated jointly with a thriving open-source community of 13,000+ members, DataHub's metadata graph provides in-depth context of AI and data assets with best-in-class scalability and extensibility. The company's enterprise SaaS offering, DataHub Cloud, delivers a fully managed solution with AI-powered discovery, observability, and governance capabilities. Organizations rely on DataHub solutions to accelerate time-to-value from their data investments, ensure AI system reliability, and implement unified governance, enabling AI data to work together and bring order to data chaos. About Role We are looking for an experienced Data Platform Engineer with 5+ years of experience to design and build scalable, reliable, and high-performance data systems. You will play a key role in building data pipelines, improving metadata integration, and ensuring high-quality, discoverable data across the platform. Responsibilities Build and optimize batch and streaming data processing systems Ensure data quality, observability, and reliability across pipelines Integrate data platforms with metadata, lineage, and governance systems Optimize performance, scalability, and cost of data infrastructure Troubleshoot production data issues and implement long-term fixes Collaborate with Product, Platform, and Analytics teams to deliver data solutions Mentor junior engineers and contribute to engineering best practices Required Skills Proficiency in Python / Java Experience with orchestration tools like Airflow / Dagster Strong experience with Spark / Kafka / Flink or similar processing frameworks Experience with cloud platforms (AWS / GCP / Azure) Experience with data warehouses such as Snowflake, BigQuery, or Redshift Solid understanding of metadata, lineage, and data governance concepts Strong debugging, performance tuning, and system design skills Experience in building data platforms or internal data tooling Preferred Qualifications Experience working with DataHub or metadata platforms Experience in distributed systems and large-scale data architecture Exposure to open-source data ecosystem Why Join Us DataHub is at a rare inflexion point: we’ve achieved product-market fit, earned the trust of leading enterprises, and secured backing from top-tier investors like Bessemer Venture Partners and 8VC. The context platform market is expected to grow from $1B to $9B in the next five years—and we’re leading the way. If you're passionate about technology, enjoy working with customers, and want to be part of a fast-growing company changing the industry, we want to hear from you! Benefits and Perks We invest in people so they can do their best work and enjoy doing it. Our benefits reflect the way we build: practical, thoughtful, and designed to support long-term growth. Competitive compensation We offer salaries that reflect your skills, experience, and the impact you make. You bring value—we make sure you're recognized for it. Equity for everyone Every team member receives an ownership stake in the company. When we grow, you grow with us. Remote Work All roles are remote unless otherwise specified in the job description. Review the job description to confirm if the role you are interested in is remote or hybrid. Location flexibility Home office, coworking space, or something in between? We support your ideal setup. You’ll receive a monthly coworking stipend to use whenever you need a change of pace or in-person collaboration time. Comprehensive health coverage Your well-being matters. We cover 99% of medical, dental, and vision premiums employees, and 65% for dependents. Flexible savings accounts We offer FSAs to help cover planned or unexpected healthcare costs. You can also opt into a Dependent Care FSA to support family needs. Support for every path to parenthood Through Carrot Fertility, we provi ... (truncated, view full listing at source)