Staff Software Engineer - Data Platform

Mountain View, California, United States

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

• Flexible Spending Account (FSA)
• Employee Assistance Program (EAP)
• Flexible Time Off and Parental Leave
• Monthly, quarterly, and annual social and team building events

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.