Principal Software Engineer - Data Platform(Data Activation & Analytics)

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 14 offices and 25 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 building a unified data platform to serve 20+ product modules, enabling ingestion, processing, and retrieval of data to power analytics systems at scale. This role is part of the Data Activation Analytics charter under the Unified Data Platform umbrella, focused on designing and developing a self-serve analytics platform with semantic modelling layer, DSL based query layer analytics backwards materialization layer. The platform will support both custom dashboards that product teams can build on their own also ready-to-embed analytics modules. About the Role You will lead the design, architecture development of this platform alongside senior architects, solving deep problems in DSL based query expressions, sub-second read latency ,multi-tenancy, high concurrency, OLAP modelling and secure data access. You will be working closely with senior engineering leaders, mentor senior/junior engineers and problem solve with product teams. Author functional/non-functional specifications and design documents Design and implement automation of infrastructure setup using helm, terraform and similar technologies. Perform peer reviews of specifications, designs, and code Work alongside Site Reliability Engineers and cross functional teams to diagnose/troubleshoot any production performance related issues About You Bachelor’s or Master’s degree in Computer Science or related field. 10+ years of backend engineering experience, with strong focus on data platforms and analytics systems. Proven expertise in building low-latency, highly concurrent microservices in the Data Platform space. Deep knowledge of fact/dimensional modelling in data lakes/warehouses. Strong understanding of OLAP workloads and hands-on experience with MPP/OLAP datastores such as StarRocks, Apache Pinot, or Apache Druid. Good understanding of OLAP/MPP DB internals(infra, performance, scale). Proficiency in JVM-based languages (Java, Scala, Kotlin). Experience in building DSL-based query services is preferred. Experience in building ETL for powering analytics is preferred. Work Location Bangalore. The successful candidate will be expected to be in the Bangalore office 3x/ week. What You Will Have at Harness Experience building a transformative product End-to-end ownership of your projects Competitive salary Comprehensive healthcare benefit Flexible work schedule Quarterly Harness TGIF-Off / 4 days Paid Time Off and Parenta ... (truncated, view full listing at source)