Senior Data Engineer Lead — AI/RAG Data Pipelines

Pace Industries, LLC; United States; Remote; USD 166,000 - 243,000; Full time

Job summary

Rackspace Technology is seeking a Data Engineer V to lead a data engineering pod responsible for core EDW pipelines and AI/RAG data infrastructure. The role involves translating stakeholder needs into a prioritized roadmap, mentoring engineers, and owning operational accountability for pipelines.

The candidate should have a Bachelor’s degree or equivalent, 8-12 years in technology leadership, and 6-8 years building data solutions on cloud platforms. Health data/security awareness is valued.

Qualifications

• Bachelor's degree or equivalent hands-on experience in a technical field.
• 8-12 years of technology experience with data-centric leadership.
• 6-8 years architecting data solutions on a cloud platform.
• 2+ years leading engineers or technical workstreams.

Responsibilities

• Lead and mentor a pod of engineers, prioritizing workload and delivering on Agile timelines.
• Set and enforce source-control, QA/testing, and CI/CD standards for AI-assisted code contributions.
• Define and track metrics for pipelines; own SLA/SLO reporting and back-to-green plans.
• Track and report KPIs (pipeline uptime, MTTR, data quality) to leadership.
• Serve as primary technical liaison to business and clinical stakeholders, translating needs into the roadmap.
• Contribute cost/budget input for cloud and AI/vector-database usage.
• Own documentation, SOPs, and escalation pathways; participate in on-call rotation.

Skills

SQL

Data modeling

Semantic layer

Batch processing

Streaming architecture

Spark

Airflow

Databricks

Snowflake

AI pipelines

Mentoring

Leadership

Education

Bachelor's degree in Computer Science or related field

Cloud certification such as Cloud Professional Data Engineer

Tools

Python

SQL tooling

Job description

Rackspace Technology is seeking a Data Engineer V to lead a data engineering pod responsible for core EDW pipelines and AI/RAG data infrastructure. The role involves translating stakeholder needs into a prioritized roadmap, mentoring engineers, and owning operational accountability for pipelines.

The candidate should have a Bachelor’s degree or equivalent, 8-12 years in technology leadership, and 6-8 years building data solutions on cloud platforms. Health data/security awareness is valued.