Lead Data Engineer (secret clearance required)

PowerToFly; Maryland; On-site; USD 111,000 - 175,000; Full time

Job summary

Deloitte's AI & Data team is seeking a Lead Data Engineer II to shape enterprise data architecture and oversee data pipelines across platforms. You will define models, standards, and oversee delivery, working with data scientists and business partners to align architecture with needs.

The role emphasizes leadership, collaboration, and the ability to mentor teams while delivering scalable data solutions for government and public services projects.

Qualifications

• Bachelor's degree is required.
• 5+ years designing database architectures with recursive/hierarchical data.
• 4+ years with SQL and data modeling (relational, dimensional, graph).
• 4+ years using PySpark and ETL tools.
• Must obtain and maintain required security clearance; travel ~25%.

Responsibilities

• Define and govern enterprise data architecture and models.
• Design canonical data models, ontologies, and platform standards.
• Lead data engineering delivery, including code reviews and QA.
• Direct data migration, sequencing, mapping, validation, rollback planning.
• Collaborate with data scientists and stakeholders on requirements.

Skills

Lead projects or workstreams

Strong interpersonal skills

Meet deadlines

Mentor others

Effective written and verbal comun.

Education

Bachelor's degree

Tools

SQL

PySpark

ETL pipelines

Job description

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
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to mentor and provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Qualifications

Required:

• Bachelor's degree
• 5+ years of experience designing database architectures, including recursive and hierarchical data structures
• 4+ years of experience with Structured Query Language and data modeling, including relational, dimensional, and graph-oriented models
• 4+ years of experience with PySpark and extract, transform, load/extract, load, transform pipeline tools
• Must be able to obtain and maintain the required clearance for this role
• Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

• Experience leading enterprise data migration efforts from legacy systems to target-state platforms
• Experience leading data engineering teams or technical workstreams
• Experience translating business requirements into technical data architecture designs

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $174,600.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

hich is needed.