HackerRank
About this role
HackerRank runs the technical hiring and skills assessment platform used by over 2,500 companies including NVIDIA, Amazon and Microsoft. This role arrives at a specific moment the posting describes openly: HackerRank has just finished a multi year data platform modernisation, moving from Redshift to StarRocks and Apache Hudi and cutting export latency from 25 seconds to under 5. The infrastructure groundwork is done, and this role builds the AI native data layer on top of it, powering revenue generating features such as natural language querying for its enterprise customers. You own and evolve the platform across StarRocks, Hudi, Trino, Spark and Apache Ranger, own in product data features such as exports, insights dashboards and interview analytics, enable self service pipelines for internal teams, and lead technical design reviews. This is a senior individual contributor role, not a management one.
Who this is for
What the posting asks for: 6 or more years of data engineering experience, with at least 2 of those in a senior or lead capacity.
The real day to day: owning and evolving the data platform across StarRocks for OLAP, Apache Hudi for the data lake, Trino, Spark and Apache Ranger, keeping performance, reliability and security intact at scale. Building the next generation AI optimised data layer, meaning clean structured datasets that power natural language querying and AI add on features for HackerRank for Work customers. Owning in product data features including exports, insights dashboards, interview analytics and the self serve custom reports interface. Enabling self service pipelines for internal teams across AI platform, analytics and go to market, which reduces ad hoc data requests. Enforcing data security through access controls, Apache Ranger policies and confidence scoring guardrails on AI generated output. Leading technical design reviews and defining engineering standards for the data team. Partnering with product managers and business stakeholders to identify and scope AI enabled data use cases.
Location and setup: hybrid in Bangalore, India. The posting does not state how many days.
Honest fit guidance: HackerRank is unusually specific about where the platform stands, which is useful, because it tells you the painful migration is behind you and the work ahead is building features rather than firefighting legacy. The posting calls this a greenfield opportunity to shape the next phase of data at the company. Note the framing as a senior individual contributor at the heart of the data organisation: the Lead in the title means technical leadership and design authority, not people management, so it stays on this board. Good fit if you want platform ownership and direct line of sight from your work to revenue features. Less good if you want a large existing team around you, since the role reads as a small senior group with wide scope.
The real day to day: owning and evolving the data platform across StarRocks for OLAP, Apache Hudi for the data lake, Trino, Spark and Apache Ranger, keeping performance, reliability and security intact at scale. Building the next generation AI optimised data layer, meaning clean structured datasets that power natural language querying and AI add on features for HackerRank for Work customers. Owning in product data features including exports, insights dashboards, interview analytics and the self serve custom reports interface. Enabling self service pipelines for internal teams across AI platform, analytics and go to market, which reduces ad hoc data requests. Enforcing data security through access controls, Apache Ranger policies and confidence scoring guardrails on AI generated output. Leading technical design reviews and defining engineering standards for the data team. Partnering with product managers and business stakeholders to identify and scope AI enabled data use cases.
Location and setup: hybrid in Bangalore, India. The posting does not state how many days.
Honest fit guidance: HackerRank is unusually specific about where the platform stands, which is useful, because it tells you the painful migration is behind you and the work ahead is building features rather than firefighting legacy. The posting calls this a greenfield opportunity to shape the next phase of data at the company. Note the framing as a senior individual contributor at the heart of the data organisation: the Lead in the title means technical leadership and design authority, not people management, so it stays on this board. Good fit if you want platform ownership and direct line of sight from your work to revenue features. Less good if you want a large existing team around you, since the role reads as a small senior group with wide scope.
Apply on company site
Opens job-boards.greenhouse.io, the employer's own application page. Applying is always free.