Data Engineering Manager
Guardant Health (company site, opens in a new tab)8+ yrsOn-siteDirect career pageEst. 30–50 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, evolution, and scaling of Guardant Health's AWS-based enterprise data platform powering analytics, AI, and business-critical decisions.
- Architect and implement scalable, secure, and AI-ready data platforms, setting technical vision, standards, and innovation strategy across ingestion, storage, transformation, and analytics layers.
- Manage and mentor a team of data engineers, collaborating with cross-functional stakeholders to build data products that deliver measurable business value through analytics and AI.
Minimum Requirements
- 8+ years in Data Engineering or related fields; 2+ years in engineering leadership roles.
- Proven experience building and scaling enterprise data platforms on AWS; expertise with Spark, Kafka, Airflow, S3, Redshift, Glue, Lambda, Kinesis, IAM, Lake Formation.
- Strong data architecture, data modelling, distributed processing, and modern data engineering frameworks expertise.
- Work Experience Required: 8+ years in Data Engineering with team leadership experience; notice period not explicitly mentioned.
Ideal Candidate Profile
- Experienced technical leader blending hands-on engineering, architectural vision, and product thinking focused on scalable, AI-enabled data platforms.
- Strong ability to translate complex business problems into scalable data products yielding measurable analytics and automation outcomes.
- Background in AWS-centric data ecosystems with knowledge of modern data architecture patterns, governance, and operational best practices.