Added
2 days ago
Type
Full time
Salary
Salary not provided

Related skills

java aws s3 databricks spark

πŸ“‹ Description

  • Lead technical direction for the Data Identity team, partnering with the team lead and product on
  • Own the identity data model and coordinate schemas, cross-ecosystem mapping, deduplication, and
  • Architect streaming and batch pipelines using Java, Spark/EMR, HBase, Databricks, and AWS
  • Design stable data contracts, versioning, and rollout to avoid breaking downstream products.
  • Lead vendor ingestion for third-party SBOM feeds and translate vendor outputs for the platform.
  • Apply AI where it adds value to data quality signals, identity re-discovery, and deduplication

🎯 Requirements

  • 10+ years of professional software engineering experience, including 3+ years at Staff level or
  • Deep experience with data-platform engineering at scale: streaming/batch pipelines, distributed
  • Strong Java proficiency (or systems-programming background).
  • Proven track record with cross-team data contracts (schema design, versioning, backward
  • AWS-native operating experience (EMR, S3, SNS/SQS) with cost/performance mindset.
  • Comfort with ambiguity and vendor-facing work with external teams.

🎁 Benefits

  • Remote-friendly position with global impact.
  • Strong focus on AI, data intelligence, and software supply chain security leadership.
  • Collaborative, high-leverage team with opportunities to shape multi-quarter architectural bets.
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