Lead Data Management Engineer II

Deloitte • Nashville, TN

3d • $105,400 - $207,800

About The Position

As a Lead Data Management Engineer II on Deloitte’s AI & Data team, you will design, develop, test, and maintain batch and near-real-time data pipelines using modern data engineering tools and frameworks. You will build and optimize data models, schemas, and storage solutions for analytics, reporting, and artificial intelligence use cases, and integrate structured and unstructured data while maintaining quality, lineage, and consistency.

The role supports implementation of cloud-based data platforms, including deployment, monitoring, performance tuning, incident management, and issue resolution. You will collaborate with cross-functional teams and stakeholders to translate business and technical requirements into scalable data engineering solutions and support delivery across project workstreams. The position is within Deloitte’s Government & Public Services practice, serving government and public higher education clients.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field.
• At least 5 years of experience developing, testing, and deploying data pipelines and extract, transform, and load (ETL) processes.
• At least 4 years of experience in incident management.
• At least 4 years of experience in data management.
• At least 4 years of experience in data ingestion.
• At least 4 years of experience leading technical teams or workstreams.
• At least 4 years of experience managing stakeholder relationships.
• Active Secret security clearance with full adjudication.
• Legally authorized to work in the United States without employer sponsorship now or in the future.
• Ability to travel 0–10% on average, depending on work and clients.
• Ability to work independently and collaboratively, communicate effectively in writing and verbally, and maintain professional relationships.
• Meticulous attention to detail and quality, strong interpersonal skills and professional demeanor, and ability to lead workstreams, prioritize multiple tasks, meet deadlines, and provide clear guidance.

Nice To Haves

• At least 4 years of experience in digital transformation.
• At least 4 years of experience in process optimization.
• At least 4 years of experience in technical analysis.

Responsibilities

• Design, develop, test, and maintain batch and near-real-time data pipelines using modern data engineering tools and frameworks.
• Build and optimize data models, schemas, and storage solutions for analytics, reporting, and artificial intelligence use cases.
• Integrate structured and unstructured data from multiple sources while ensuring data quality, lineage, and consistency across platforms.
• Support cloud-based data platform implementation, including deployment, monitoring, performance tuning, incident management, and issue resolution.
• Collaborate with cross-functional teams and stakeholders to translate business and technical requirements into scalable data engineering solutions.
• Support delivery across project workstreams and provide clear guidance to others.

Benefits

• Broad range of employee benefits.
• Opportunities for on-the-job learning, formal development programs, mentorship, and leadership development.
• Potential eligibility for a discretionary annual incentive program, subject to program rules and applicable factors.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior