HackerRank
Technology
LeadDataEngineer
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Engineer at HackerRank. Skills: Data platform evolution, AI data layer, Data-driven features. Evolve data platform. Ensure performance”
What You'll Achieve.
Power revenue-generating features; Drive revenue; Reduce ad-hoc data requests; Scale data access
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
6+ years data engineering experience, 2+ years senior/lead capacity, Deep OLAP databases expertise, Data lake technologies experience, Proficient with distributed query engines, Proficient with batch/streaming compute, Solid understanding data security, Solid understanding RBAC, Solid understanding access control tools, Comfortable hybrid AWS environment, Comfortable open-source self-managed environment, Strong communicator, Translate technical decisions, Drive cross-functional projects independently
Nice to Have
AI/LLM-adjacent data work experience, Agentic workflows experience, Operationalise emerging AI concepts, Scaling data infrastructure experience, Familiarity natural language querying interfaces, Building data products experience
What You'll Do.
Ensure security at scale
Build AI-optimised data layer
Power natural language querying
Power AI add-on features
Own in-product data features
Enable self-service pipelines
Reduce ad-hoc data requests
Enforce robust data security
Manage access controls
Manage Apache Ranger policies
Manage confidence-scoring guardrails
Lead technical design reviews
Define engineering standards
Partner with business stakeholders
Identify AI-enabled data use cases
Scope AI-enabled data use cases
How You'll Work.
Team & Collaboration
Cross-functionally with AI; Cross-functionally with product; Cross-functionally with GTM; Internal teams collaboration
Communication Scope
Translate technical decisions; Technical stakeholders; Non-technical stakeholders
Full Job Description
HackerRank helps companies like NVIDIA, Amazon, and Microsoft hire and upskill the next generation of developers based on skills, not pedigree. Our platform is trusted by over 2,500 of the world’s most innovative companies to build strong engineering teams ready for what’s next. Software has entered an era where humans and AI build side by side. As this shift accelerates, the definition of strong technical talent is changing. We give companies better ways to identify and invest in next-generation skills. People at HackerRank care deeply about the impact of their work and sweat the small details so our customers can be wildly successful with products they genuinely love to use. We move with urgency and believe great outcomes come from high standards. About the role HackerRank's data platform is at an inflection point. We've completed a multi-year modernisation - migrating from Redshift to StarRocks + Apache Hudi - and cut export latencies from 25 seconds to under 5 seconds. The infrastructure groundwork is done. Now we're building the AI-native data layer that will power revenue-generating features like natural language querying for HackerRank for Work customers. As Lead Data Engineer, you'll be a senior individual contributor at the heart of the data organisation - owning complex platform decisions, collaborating cross-functionally with AI, product, and go-to-market teams, and shipping data-driven features that directly drive revenue. This is a greenfield opportunity to shape the next phase of data at HackerRank. What you will do Own and evolve the data platform - StarRocks (OLAP), Apache Hudi (Data Lake), Trino, Spark, and Apache Ranger - ensuring performance, reliability, and security at scale. Build the next-gen AI-optimised data layer: clean, structured datasets that power natural language querying and AI add-on features for HackerRank for Work customers. Own in-product data features - exports, insights dashboards, interview analytics, and the self-serve Custom
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