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Protocol Intelligence
Data-driven signals on your job's competitivenessRecognizable employer, common data platform skillset, and visible manager title produce moderate competition.
Core data engineering skills are transferable, though healthcare and regulated-data experience increases fit sensitivity.
Explicit 8+ years, leadership requirement, and specific AWS/Spark/Kafka platform expertise make filters strict.
Job Description
Structured overview of role & requirementsAbout 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.