Note: The job is a remote job and is open to candidates in USA. Bravo17 LLC is a federal digital services firm focused on improving digital products and services for federal agencies. The Lead Systems Engineer - Data will elevate data-driven decision-making by implementing advanced data modeling strategies and integrating AI and machine learning techniques into analytical workflows.
Responsibilities
- Define and maintain technical standards for data architecture, modeling, and AI integration to ensure consistency, quality, and maintainability across all projects
- Propose innovative solutions to enhance data processing, AI model performance, and analytical security
- Collaborate with project managers and stakeholders to bridge the gap between business needs and technical data implementation
- Develop comprehensive technical documentation, such as data models, schema designs, and AI pipeline specifications, to guide development and ensure team alignment
- Architect and implement secure, high-performance data pipelines and analytical services
- Integrate AI/ML models into data workflows, focusing on automated insight generation, predictive modeling, and the development of innovative user experiences
- Collaborate with cross-functional teams to define project requirements and technical specifications for data-intensive applications
- Mentor junior analysts and engineers, fostering capabilities in AI-driven data tooling and analytical best practices
- Conduct rigorous peer reviews to ensure code quality, data accuracy, and adherence to best practices
- Troubleshoot and debug complex issues across the full data lifecycle
- Effectively communicate complex analytical concepts to both technical and non-technical audiences
- Collaborate closely with product managers and engineers to ensure that data-driven user needs are met throughout the product development lifecycle
- Stay abreast of the latest trends in AI development, data engineering, and statistical modeling
- Continuously improve skills through professional development and workshops
Skills
- Minimum of 7–10 years of practical experience in data analysis or data engineering, with a proven track record of technical leadership
- Strong background in data-intensive applications, with a specific focus on AI-integrated data modeling and cloud computing solutions
- Thorough understanding of data service design patterns, including REST APIs, microservices, and modern data warehouse architectures
- Excellent communication, presentation, and interpersonal skills
- Demonstrated capability to lead technology projects, operate autonomously, or collaborate effectively within a team environment
- Strong analytical skills with business acumen and the ability to turn data into strategic insights
- Secret Required (or willingness to apply for Secret)
- A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field is preferred; however, deep experience can serve as a substitute
Benefits
- Competitive compensation
- Health and welfare benefits
- Flexible ways of working
- Generous time off policies including vacation/PTO, sick leave, and parental leave
Company Overview