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About the role
As a member of the Data User Platform and Programs team at DoorDash, you will be working at the intersection of data infrastructure, reliability, governance, developer tooling, and AI systems. Your role will involve supporting thousands of internal data users including engineers, analysts, data scientists, and business stakeholders. This position is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform's long-term architecture. In this role, you will work on systems such as: - Platform foundations for reliability, observability, cost-efficiency, and compliance - A unified data discovery and catalog experience - AI-powered assistants and workflows for analytics and operations You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem. Your key responsibilities will include: - Improving scalability, performance, and reliability of data platform services through strong engineering practices - Building and operating data discovery and metadata platforms to help users find the right datasets, dashboards, and metrics quickly and confidently - Developing AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants - Adding observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time - Driving cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources - Embedding cost awareness into the data lifecycle You are an ideal candidate if you have: - A B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent - 3+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python - Proficiency in using AI coding tools in the full software development lifecycle - Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance - Experience improving efficiency, scalability, and stability of data platforms - Experience building or operating backend systems in production environments Join DoorDash, a technology and logistics company that is committed to empowering local economies and fostering diversity and inclusion within the company, industry, and cities. Embrace the opportunity to contribute to innovative solutions and shape the future of the company while enjoying comprehensive benefits and perks. As a member of the Data User Platform and Programs team at DoorDash, you will be working at the intersection of data infrastructure, reliability, governance, developer tooling, and AI systems. Your role will involve supporting thousands of internal data users including engineers, analysts, data scientists, and business stakeholders. This position is part of a founding engineering team in India, offering high ownership, strong growth opportunities, and direct influence over the platform's long-term architecture. In this role, you will work on systems such as: - Platform foundations for reliability, observability, cost-efficiency, and compliance - A unified data discovery and catalog experience - AI-powered assistants and workflows for analytics and operations You will collaborate closely with product managers, data engineers, and analytics teams to deliver solutions that reduce friction and increase trust across the data ecosystem. Your key responsibilities will include: - Improving scalability, performance, and reliability of data platform services through strong engineering practices - Building and operating data discovery and metadata platforms to help users find the right datasets, dashboards, and metrics quickly and confidently - Developing AI-enabled services and workflows, including self-serve tooling for creating, evaluating, and improving AI assistants - Adding observability, monitoring, and operational tooling to maintain platform SLAs and reduce incident response time - Driving cost-efficient data platform design by identifying underutilized, redundant, or idle datasets, services, and compute resources - Embedding cost awareness into the data lifecycle You are an ideal candidate if you have: - A B.E./B.Tech., M.E./M.Tech, or Ph.D. in Computer Science or equivalent - 3+ years of experience with CS fundamental concepts and experience with at least one of the programming languages of Go, Java, and Python - Proficiency in using AI coding tools in the full software development lifecycle - Prior technical experience in Big Data infrastructure, Cost Efficiency & Governance - Experience improving efficiency, scalability, and stability of data platforms - Experience building or operating backend systems in production environments Join DoorDash, a technology and logistics company that is committed to empowering local economies and fostering diversity a
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