14 hours ago
Base Salary
$166k - $243k/yr
Responsibilities
- Lead and mentor a data engineering pod while setting technical direction, delivery standards, workload priorities, and roadmap execution.
- Architect and oversee EDW pipelines, cloud data solutions, batch and streaming systems, and AI/RAG data infrastructure.
- Set team standards for SQL, data modeling, semantic layers, schema and pipeline design, source management, version control, QA/testing, and AI-assisted development.
- Own pipeline metrics, SLA/SLO tracking, data-quality reporting, root-cause analysis, mitigation plans, and back-to-green efforts for missed KPIs.
- Translate business and clinical stakeholder needs into actionable technical plans and serve as the team's primary technical liaison.
- Coordinate with data science, security, and compliance teams to ensure platform readiness and enforce security, privacy, and AI-risk standards.
- Own team documentation, SOPs, escalation paths, cloud and AI/vector-database cost input, and on-call escalation responsibilities.
Requirements
- Bachelor's degree in Computer Science or a related technical field, or equivalent hands-on experience.
- 8–12 years of experience in technology with significant data-centric leadership.
- 6–8 years of hands-on experience architecting data solutions on a cloud platform.
- At least 2 years of formally leading engineers or technical workstreams.
- Expert-level SQL, data modeling, and semantic-layer design experience.
- Experience with batch and streaming architecture, including Spark, Airflow, Databricks, or Snowflake.
- Preferred Cloud Professional Data Engineer or ML Engineer certification.
- Preferred experience with HIPAA, HL7, and FHIR compliance frameworks.
- Preferred experience setting standards for LLM/RAG data architecture at scale.
- Ability to mentor engineers, prioritize delivery, communicate with stakeholders and audiences of 10+, and manage complex pipeline or data-quality issues.
Benefits
- Compensation may include annual bonus or incentive compensation, equity awards, and an Employee Stock Purchase Plan (ESPP).
- The role includes participation in an on-call rotation and coordination of escalation coverage.
Tech Stack
Categories
Data Engineering
About Rackspace
Rackspace provides managed cloud and IT services for enterprises, including multicloud operations, cloud migration, private cloud, managed security, and application/platform management across AWS, Azure, Google Cloud, and VMware. It operates a services-led business model with consulting and ongoing management for regulated and mission‑critical workloads, including healthcare. Founded in 1998 and headquartered in San Antonio, Texas, Rackspace is majority‑owned by Apollo Global Management.