Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code – testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this “outer loop,” helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy-driven controls embedded throughout the platform.  Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend — enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency.  With a global team across 26 offices and 27 countries, Harness is shaping the future of AI software delivery — and we’re looking for exceptional talent to help us move even faster. Position Summary We are seeking a talented and experienced Data Platform Engineer to join our team as the Technical Lead.  The ideal candidate will be responsible for designing, developing, and maintaining our data pipelines and infrastructure. They will work closely with cross-functional teams to understand data requirements, implement solutions, and ensure data quality and reliability. The data engineer will also be involved in optimizing data processes and supporting data analytics initiatives. About the role • Design, build, and maintain scalable data pipelines and infrastructure to support data ingestion, processing, and storage. • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and develop solutions to meet business needs. • Implement data quality checks and ensure data integrity and reliability throughout the data lifecycle. • Optimize and tune data pipelines for performance and efficiency. • Troubleshoot and debug data-related issues, and provide timely resolution. • Stay updated with the latest technologies and best practices in data engineering and apply them to improve existing systems. • Document data architecture, processes, and workflows. • Provide support and guidance to junior members of the team. About you • Bachelor's degree in Computer Science, Engineering, or related field. Master's degree preferred. • 9+ yrs of proven experience as a data engineer or similar role, with a strong background in data warehousing, ETL/ELT processes, and data modeling. • Proficiency in programming languages such as Python, Java, or Scala. • Experience with big data technologies such as BigQuery, Spark, Kafka, DBT, SQLMesh etc. • Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. • Strong SQL skills and experience working with relational and NoSQL databases. • Familiarity with data visualization tools such as Tableau, Power BI, or Looker. • Excellent problem-solving and analytical skills. • Strong communication and collaboration skills, with the ability to work effectively in a team environment. Preferred Experience • Experience with containerization and orchestration tools such as Docker and Kubernetes. • Knowledge of machine learning techniques and frameworks. • Experience with DevOps practices and tools for CI/CD. Work Location Mountain View, CA - Hybrid (3 days / week onsite)  What you will have at Harness • Competitive salary • Comprehensive healthcare benefits • Flexible Spending Account (FSA) • Flexible work schedule • Employee Assistance Program (EAP) • Flexible Time Off and Parental Leave • Monthly, quarterly, and annual social and team building events • Monthly internet reimbursement Pay transparency $180,000—$220,000 USD Harness in the news: • Accelerating Our Mission to Bring AI to Everything After Code • Goldman Sachs leads investment in software delivery startup Harness at $5.5 billion valuation • How Harness runs 16 “startups within a startup” at scale | Jyoti Bansal • Harness Research Shows AI Visibility Crisis Fueling Security Nightmare • Harness has been named to the Inc. Power Partner list for software delivery success All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin. At Harness, we care about your privacy and are committed to protecting your personal data. For additional information on this topic, you can visit our privacy Portal: https://harness-privacy.relyance.ai/ Note on Fraudulent Recruiting/Offers We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of Harness. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.  Please note, we do not ask for sensitive or financial information via chat, text, or social media, and any email communications will come from the domain @harness.io. Additionally, Harness will never ask for any payment, fee to be paid, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Harness, please do not provide any personal or financial information and contact us immediately at security@harness.io. You can also find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission’s website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency.