Technical Lead - Data and Application Architecture

Category: Architecture

Main location: United States, Virginia, Fairfax

Position ID:J0626-0753

Employment Type: Full Time

U.S. - CGI Federal- Federal Regulatory

Position Description:

Join a high-impact, mission-driven development team supporting Federal programs where technology directly improves how the public and government interact with mission critical systems. In this role, you'll lead complex application and data architecture efforts across a modern technology stack, mentor developers, shape the technical direction of high-visibility systems, and work daily with collaborative, energetic colleagues.
You will have the opportunity to:
Drive architecture and development across cloud-native, modern Java, and JavaScript ecosystems.
Work with a dynamic, fast-paced, supportive team that values innovation, knowledge sharing, and continuous learning.
Influence enterprise-wide technical decisions, participate in research and proof-of-concepts, and expand the team's depth in open-source and cloud technologies.
Grow as a leader while mentoring others and contributing to a psychologically safe, inclusive, high-performing engineering culture.
If you're a technical expert who enjoys solving complex problems, building elegant, scalable systems, and engaging directly with stakeholders, this is a role where you will thrive.
This position is located in our Fairfax, VA, Knoxville, TN or Lafayette, LA office; however, a hybrid working model is acceptable.

Your future duties and responsibilities:

Blending application engineering, data architecture, and technical leadership, you will:
Software & Systems Engineering
Architect, design, and code new system features across Java, Spring, JavaScript frameworks, RESTful services, and cloud-native components.
Write, review, and optimize source code while enforcing best practices in maintainability, testing, and performance.
Improve and modernize existing system architecture, tools, and technologies.
Data Engineering & Data Architecture
Build complex data models supporting analytical workloads, operational systems, and cross-application integrations.
Define and maintain data standards, data governance practices, and scalable data pipelines.
Optimize application access to backend data stores and contribute to database design decisions.
Collaborate with teams on data-driven features, reporting, and advanced analytics.
DevOps, Cloud, and Infrastructure Collaboration
Work with infrastructure administrators to design, maintain, and improve cloud-hosted environments.
Integrate automated testing, CI/CD pipelines, and emerging DevOps practices.
Evaluate and integrate new technologies such as Elasticsearch, Kubernetes, Splunk, and cloud services.
Leadership, Mentorship & Stakeholder Engagement
Lead technical design sessions to create sustainable, high-performing solutions.
Mentor junior developers and support broader team skill development.
Work directly with clients, end-users, and cross-project teams to understand needs and translate complex technical concepts for diverse audiences.
Strategic, Interpersonal & Cultural Leadership
Build trusted, collaborative relationships across boundaries.
Manage and resolve conflicts constructively-technical or interpersonal.
Foster an inclusive environment where all contributors feel valued and supported.
Exercise sound strategic judgment, balancing immediate delivery with long-term sustainability.
Lead with integrity, inspire commitment, and model professional excellence.

Required qualifications to be successful in this role:

Technical Expertise
10+ years of professional software engineering experience
Strong mastery of Java, Spring, RESTful service development, and modern Java frameworks
Proficiency with front-end JavaScript frameworks (e.g., JQuery, Knockout.js, Vue.js, Angular)
Experience with common development tools: Maven, Git, Tomcat, Eclipse/IntelliJ, Jenkins/Bamboo
Demonstrated skills in data modeling, data management, and backend data optimization
Understanding of cloud-native architectures (Azure, AWS)
Cross-Disciplinary Technical Leadership
Broad and deep experience spanning development, DevOps, tech leadership, solutions architecture, and data architecture
Ability to rapidly learn and integrate emerging technologies and tools
Professional & Interpersonal Skills
Superior communication skills; able to translate highly technical concepts to any audience
Strong stakeholder engagement skills and experience working with clients and third-party partners
Experience mentoring and supporting junior team members
Ability to balance multiple assignments in a dynamic environment
Education & Eligibility
Bachelor's degree in Computer Science, Engineering, or related field
Ability to obtain a Public Trust clearance (post-hire)
Desired qualifications/non-essential skills required:
Experience with Elasticsearch, serverless technologies, Docker/Kubernetes
Government consulting experience
Experience leading software engineering teams
Agile/Scrum certifications
Experience with Atlassian tools (JIRA, Confluence, Bitbucket, SourceTree)
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit-based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $113,400.00 - $245,500.00.
CGI Federal's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. Comprehensive insurance options
. Matching contributions through the 401(k) plan and the share purchase plan
. Paid time off for vacation, holidays, and sick time
. Paid parental leave
. Learning opportunities and tuition assistance
. Wellness and Well-being programs
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Skills:

• Cloud architecture
• Data Architecture
• Data Modeling
• Java
• Leadership