Data Engineer V - US

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Description

Data Engineer V Leads the technical direction, delivery standards, and day-to-day execution of a data engineering pod — spanning core EDW pipelines and AI/RAG data infrastructure — translating stakeholder needs into a prioritized roadmap while mentoring engineers and owning operational accountability for the team's pipelines. Required Education & Experience Bachelor's degree in Computer Science, a related technical field, or equivalent hands-on experience. 8–12 years of experience in technology, with significant data-centric leadership. 6–8 years hands-on experience architecting data solutions on a cloud platform. 2+ years formally leading engineers or technical workstreams. Preferred Cloud Professional Data Engineer or ML Engineer certification. Experience with healthcare data compliance frameworks (HIPAA, HL7, FHIR). Experience setting standards for LLM/RAG data architecture at scale. Knowledge, Skills, and Abilities Expert-level SQL, data modeling, and semantic-layer design; sets standards for the team's schema/pipeline design patterns. Sets the team's approach to batch/streaming architecture (Spark, Airflow, Databricks/Snowflake) and CI/CD practices. Sets standards for the team's AI/RAG data pipelines (embedding strategy, vector-store selection, corpus curation) and AI-assisted development practices. Directs and mentors a team of engineers; manages workload prioritization and on-time delivery. Translates business ambiguity into actionable technical plans; regularly presen

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