Principal Software Engineer - Data Platform(Data Activation & Analytics)
About the position
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. 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
Responsibilities
• 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
Requirements
• 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).
Nice-to-haves
• Experience in building DSL-based query services is preferred.
• Experience in building ETL for powering analytics is preferred.
Benefits
• Competitive salary
• Comprehensive healthcare benefits
• Flexible Spending Account (FSA)
• Employee Assistance Program (EAP)
• Flexible Time Off and Parental Leave
• Quarterly Harness TGIF-Off / 4 days
• Monthly, quarterly, and annual social and team-building events
• Recharge & Reset Program
• Monthly internet reimbursement
• Commuter benefits
• Pay transparency
Apply tot his job
Apply To this Job
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. 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
Responsibilities
• 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
Requirements
• 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).
Nice-to-haves
• Experience in building DSL-based query services is preferred.
• Experience in building ETL for powering analytics is preferred.
Benefits
• Competitive salary
• Comprehensive healthcare benefits
• Flexible Spending Account (FSA)
• Employee Assistance Program (EAP)
• Flexible Time Off and Parental Leave
• Quarterly Harness TGIF-Off / 4 days
• Monthly, quarterly, and annual social and team-building events
• Recharge & Reset Program
• Monthly internet reimbursement
• Commuter benefits
• Pay transparency
Apply tot his job
Apply To this Job