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Data Engineer V - US
Rackspace Technology · US-Work from Home · Posted 32 days ago
Lead a high-impact data engineering pod spanning enterprise EDW and AI/RAG infrastructure with full technical ownership and team mentorship at a V-level role.
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 presents to stakeholders and audiences of 10+.
- Coordinates handoffs with adjacent technical teams (data science, security, compliance) to ensure platform readiness.
- Enforces security/privacy standards, including AI-specific risk considerations, across the team's work.
Job Functions
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There are 81 open roles at Rackspace Technology right now. This role is one of 47 Data Engineer openings in Remote and centers on SQL, Data Modeling, Spark, and Airflow.
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