Data Architect - Government & Public Services

About the role

Our Deloitte AI & Engineering team transforms technology platforms, drives innovation, and helps 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 Software Engineer II on the Engineering as a Service team, you will be responsible for:

• Designing scalable and maintainable data architecture
• Defining data models, structures, and integration patterns
• Supporting interoperability across internal and external systems
• Guiding architecture decisions supporting analytics, reporting, and data quality
• Collaborating with engineering and data teams on implementation
• Ensuring architecture supports operational and mission needs

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, and 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 Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, and deliver complex programs with a product engineering mindset. Our flexible delivery models — traditional teams, pools, or pods — are tailored for each client's needs, offering engineering-led Advise, Implement, and Operate capabilities to accelerate innovation.

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
• 8+ years in data architecture or enterprise design
• Active Top Secret security clearance required
• Ability to travel 40%, 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 supporting modernization of legacy systems
• Experience in federal, defense, or secure cloud environments
• Data Integration

Pay

For individuals assigned and/or hired to work in Washington DC, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Washington DC and 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. 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 $137,500 to $229,100. 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.