Lead data readiness assessments to understand what data is available, how it is used, and how it can support AI use cases
Build and improve data pipelines and integrations that deliver AI-ready data for AI and GenAI workloads
Design and configure governance and compliance controls that enable secure and compliant use of data for AI
Help ensure that PoV data flows are designed with production scale, performance, and operations in mind
Partner with AI Architects, AI Strategists, and customer stakeholders to align data work with overall AI priorities and operating models
Perform hands-on data integration and transformation work to prepare AI-ready datasets for PoV and production solutions
Define integration patterns and pipelines that deliver AI-ready data with appropriate security, risk, and privacy controls
Ensure PoV pipelines are production-aware from the start, including patterns for monitoring, reliability, performance, and maintainability
Collaborate closely with AI Architects to align data flows with the AI software stack and avoid data-related blockers
Work with AI Strategists and customer stakeholders to align data work with AI governance frameworks, operating models, and stewardship processes
Contribute to documentation such as data flow diagrams, data catalogs, governance artifacts, and runbooks for AI data operations
Coach customer data engineers and platform teams on building and maintaining AI-ready data pipelines and governance practices

Requirements

Typically, 3-8 or more years in data engineering, analytics platforms, or AI data roles within large or complex organizations.
Experience running data readiness assessments and preparing data for analytics or AI use cases.
Hands-on skills in building data integrations and ETL/ELT processes and transforming raw data into AI-ready formats.
Experience configuring data governance and compliance controls for secure and compliant use of data, including sensitive data.
Proven ability to scale data pipelines from pilot to production while maintaining performance, reliability, and compliance.
Clear written and verbal communication skills to explain data flows, governance decisions, and operational requirements to technical and non-technical audiences.
Ability to travel to customer sites and Dell locations as needed , in line with business requirements and applicable laws and Dell policies.
Bachelor’s degree in Computer Science, Data/Information Management, Engineering, or a related field.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringdata readiness assessmentsdata integrationsETLELTdata transformationdata governancecompliance controlsdata pipelinesAI-ready data

Soft Skills

communication skillscollaborationcoachingproblem-solvingorganizational skills

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Data/Information ManagementBachelor’s degree in Engineering