Senior Data Engineer Lead — AI/LLM Pipelines

Rackspace Technology, Inc.

United States

Remote

USD 166,000 - 243,000

Full time

9 days ago

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Job summary

Rackspace Technology, Inc. is seeking a Data Engineer V to lead a data engineering pod, directing core EDW pipelines and AI/RAG infrastructure. You will translate stakeholder needs into a prioritized roadmap, mentor engineers, and own operational accountability for the team's pipelines.

The role emphasizes advanced SQL, data modeling, cloud data solutions, and leadership of engineers across cross-functional teams. Collaboration with data science, security, and compliance is expected.

Qualifications

  • Bachelor's degree in CS or related field, or equivalent hands-on experience.
  • 8–12 years of technology experience with data-centric leadership.
  • 6–8 years hands-on experience architecting data solutions on a cloud platform.
  • 2+ years leading engineers or technical workstreams.
  • Preferred: Cloud Professional Data Engineer or ML Engineer certification.

Responsibilities

  • Lead and mentor a team/pod of engineers, prioritizing workload and driving on-time, Agile delivery.
  • Own source-management, version-control, and QA/testing standards for the team, including AI-assisted code contributions.
  • Define and track the team's metrics strategy; own SLA/SLO tracking for pipelines and lead "back-to-green" plans when KPIs are missed.
  • Track, analyze, and report KPIs (pipeline uptime, MTTR, data-quality metrics) to leadership.
  • Own root-cause analysis and mitigation for complex pipeline/data-quality issues within the team's scope.
  • Serve as a primary technical liaison to business/clinical stakeholders, translating needs into the team's roadmap (pipelines, data products, AI/RAG capabilities).
  • Contribute cost/budget input for the team's cloud and AI/vector-database usage.
  • Own documentation, SOPs, and escalation pathways for the team.
  • Participate in and help coordinate the on-call rotation, owning escalation ownership when issues arise.

Skills

SQL
Data modeling
Semantic-layer design
Batch/Streaming architecture
Spark
Airflow
CI/CD
Databricks
Snowflake
AI/RAG pipelines
Leadership
Stakeholder communication
Cross-team coordination
Security/privacy

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks
Snowflake
Spark
Airflow

Job description

Rackspace Technology, Inc. is seeking a Data Engineer V to lead a data engineering pod, directing core EDW pipelines and AI/RAG infrastructure. You will translate stakeholder needs into a prioritized roadmap, mentor engineers, and own operational accountability for the team's pipelines.

The role emphasizes advanced SQL, data modeling, cloud data solutions, and leadership of engineers across cross-functional teams. Collaboration with data science, security, and compliance is expected.

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