About the role
Manage a team of high-quality platform engineers and drive engineering excellence. Act as a hands-on technical leader in architecture, design, and code reviews across data pipeline, storage, and governance domains, while contributing to code when required. Own end-to-end platform development strategies by working closely with product teams, data consumers (ML, Analytics, Application Engineering), and cross-functional stakeholders. Define and drive the roadmap for data ingestion pipelines, infrastructure, and data quality frameworks. Own the strategy and execution for building, enhancing, and monitoring integrations with third-party systems across the HR tech ecosystem — including SSO providers, HRIS systems, ATS platforms, Learning Management Systems (LMS), Assessment Systems, and Background Verification Systems — ensuring these integrations are reliable, scalable, and secure. Establish SLAs, observability standards, and operational processes that make the platform a reliable foundation for the entire organization. Attract, develop, and retain top-tier platform engineering talent. Build and champion best-in-class engineering practices — from CI/CD and testing to incident response and on-call disciplines specific to data systems. 8+ years of experience in software/data engineering, with at least 1+ years in an Engineering Manager role. Deep hands-on experience with distributed data systems, including data pipelines (batch and streaming), data warehousing, and large-scale storage technologies (e.g., Spark, Flink, Airflow, Solr, Redshift, StarRocks, AWS Kinesis, SQS, SNS). Strong understanding of core data platform concepts, including ingestion patterns, schema management, data lineage, data quality frameworks, and access control/governance. Experience building and operating platform teams serving internal engineering customers, with a strong understanding of the unique challenges of horizontal platforms (stakeholder management, API design, SLA commitments). Passion for reliability, scalability, and developer experience; you care as much about the teams consuming your platform as the systems themselves. Prior experience in SaaS or startup environments is a strong plus. Proven experience scaling high-performing platform engineering teams and establishing strong engineering practices and processes. Familiarity with modern AI-assisted development tools (e.g., Cursor, GitHub Copilot, Claude Code, or similar) to accelerate engineering velocity. Strong communication skills with the ability to translate complex platform capabilities and trade-offs for both technical and non-technical audiences.
