Lead Data Engineer (secret clearance required)

Relha LLC; Northern (KY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Deloitte is seeking a Lead Data Engineer II on the AI & Data team to drive enterprise data architecture and scalable data platforms in the United States, with secret clearance required.

You will lead data engineering delivery, collaborate with data scientists and analysts, and align architectural decisions with current operations and future analytics needs.

Qualifications

• Must be able to work independently and with others.
• Excellent written and verbal communication abilities.
• Meticulous attention to detail and quality of work.
• Ability to build and sustain professional relationships.

Responsibilities

• Define and govern enterprise data architecture, including data models, schemas, and recursive structures.
• Design canonical data models and ontology standards to support consistency, scalability, and performance.
• Lead technical oversight of data engineering delivery: pipelines, schema changes, code reviews, QA, and architectural approvals.
• Direct data migration planning and execution: sequencing, mapping, validation, reconciliation, rollback planning, and issue resolution during cutover.
• Collaborate with data scientists, analysts, and business stakeholders to align architecture with current and future analytical needs.

Skills

Independent work & team collaboration

Communication skills

Attention to detail

Relationship building

Project leadership

Job description

Lead Data Engineer (secret clearance required)

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients’ success. You’ll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You’ll Do

As a Lead Data Engineer II on the AI & Data team, you will be responsible for:

Define and govern enterprise data architecture, including logical and physical data models, database schemas, and hierarchical and recursive data structures.

Design and oversee canonical data models, ontology structures, and platform data standards to support consistency, scalability, and system performance.

Lead technical oversight of data engineering delivery, including pipeline design, schema changes, code reviews, quality controls, and architectural approvals.

Direct data migration planning and execution, including sequencing, mapping, validation, reconciliation, rollback planning, and issue resolution during cutover.

Collaborate with data scientists, analysts, and business stakeholders to align architecture decisions with current operational requirements and future analytical needs.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams