Salary
💰 $145,350 - $226,550 per year
Tech Stack
AirflowAngularApacheAWSAzureCloudDockerETLGoogle Cloud PlatformKubernetesNeo4jPostgresPythonPyTorchSparkTensorflowTypeScript
About the role
- Oversee the design, architecture, and development of a data integration and analytics platform
- Define technical strategy for a software platform supporting a portfolio generating over $20 million in annual revenue
- Drive innovation to transition product lines from reactive to proactive health management
- Assess and identify technology solutions for ETL, data storage, big data processing, ML, visualization, containerization, and web development
- Ensure software solutions and data governance comply with ITAR/EAR, CUI, and data classification restrictions
- Lead development and implementation of software design practices, architectural documentation, tooling, and metrics
- Manage and reduce technical debt while preventing future debt creation
- Coordinate with software engineering leadership, IT, SQE, business counterparts, stakeholders, and customers
- Mentor early-career engineers and guide team skill development
- Continuously research industry trends and emerging technologies to inform architectural decisions
- Align software architecture with Engineering Test & Technology (ET&T) objectives and integrate with BGS Government solutions
Requirements
- 10+ years of experience developing software solutions for enterprise-level data and analytics in multiple programming languages and frameworks
- 5+ years of technical leadership experience
- 5+ years of knowledge of software programming languages, databases, and architecture frameworks
- 5+ years of experience developing solutions within cloud frameworks including Azure, AWS, or GCP
- Ability to obtain a U.S. Security Clearance (Post-Start) — U.S. Citizenship required
- Export control compliance: must be a "U.S. Person" as defined by 22 C.F.R. §120.15 (U.S. Citizen, lawful permanent resident, refugee, or asylee)
- Employer will not sponsor applicants for employment visa status
- Experience or knowledge of ITAR/EAR, CUI, and data classification restrictions (preferred)
- Experience overseeing end-to-end development and operation architecture for data analytics solutions (preferred)
- Experience developing and/or leading AI based solutions, including generative AI (preferred)
- Experience developing predictive health management solutions for military and defense customers (preferred)
- Bachelor's degree in engineering, engineering technology, chemistry, physics, mathematics, data science, or computer science (preferred)
- Travel: up to 10%
- Must complete a technical assessment (CodeVue) as part of the selection process