Mgr II- Eng SW

BAE Systems•Nashua, NH

3d•Hybrid

About The Position

The Digital Architecture Team (DAT) is seeking a highly experienced Software (Data) Engineering Manager II to lead our team in developing and implementing modern digital practices for engineering and operations. If you're passionate about data engineering, software development, and leadership, we encourage you to apply. Our core product is data. Engineering and Operations produce a large volume and wide variety of data. It will be your responsibility to own the team that is responsible for every aspect of the lifecycle of this data. This includes engineering data schemas, Protobuf models, automated methods of data governance, deploying and administrating databases and interfacing with customers to understand their needs and issues. Our system spans both modern cloud-based solutions and legacy Windows based infrastructure. Our team built a highly scalable containerized gRPC microservices platform and micro-frontends web applications. Our team needs your help ensuring that data, the lifeblood of our group, is being collected, aggregated and stored for our end customers. Mission Impact: At BAE Systems, we protect those who protect us. The Software Engineering Manager 2 is a pivotal leadership role within the Digital Architecture Team (DAT), where data is our core product. You will lead the engineers responsible for the entire data lifecycle—from ingestion, schema engineering, governance to predictive yield analysis. By optimizing how we collect, aggregate, and store mission-critical data, you directly enable the development of world-class autonomous mission management, digital twins, and advanced analytics that support warfighters and the intelligence community across air, land, sea, and space. Role Overview: You will lead the team responsible for developing and implementing data-driven solutions to drive business growth, inform strategic decision-making, and accelerate digital engineering. This includes overseeing a highly scalable gRPC microservice platform and micro-frontends web applications. Your goal is to ensure that data—the lifeblood of our group—is governed, collected, aggregated, and stored efficiently for our end customers, bridging the gap between modern cloud-based solutions and legacy Windows-based infrastructure. We are seeking a highly skilled and experienced Software Engineering Manager to lead our data analytics team in developing and implementing scalable enterprise data solutions. The successful candidate will have a strong background in developing requirements, architecting Python microservices, data governance, digital engineering, as well as excellent leadership and communication skills. As a key member of our leadership team, you'll oversee the development of mission-critical data solutions for Next Generation Electronic Warfare Systems Products and Solutions. If you're a Software Engineering Manager or seasoned Software Engineering Engineer with 8+ years’ experience and a passion for leading high-performing teams and upholding the principles of transparency, accountability, and posterity, we want to hear from you!

Requirements

8+ years of experience in software development, with at least 3+ years of experience in a leadership role (e.g., engineering manager, technical lead) focused on data engineering and software development
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
Proven track record of successfully leading and managing high-performing teams in data engineering and software development
Strong technical expertise in data engineering, including data pipelines, databases, data governance, and software development
Excellent communication, collaboration, and leadership skills, with the ability to work effectively with cross-functional teams
Strong problem-solving, analytical, and decision-making skills, with the ability to navigate complex technical and business issues
Experience with cloud-based technologies, containerization (e.g., Docker), orchestration (e.g., Kubernetes), and continuous integration/continuous deployment (CI/CD) pipelines
Familiarity with industry trends, emerging technologies, and innovative data engineering and software development methodologies
Proficiency in Python, C#, Docker, Kubernetes and Protobuf gRPC
Experience in governing data throughout the data lifecycle from planning to retiring legacy solutions
Expert ability in leading software projects with a focus on optimizing the data flow for the end customer.
Solid understanding of SQLAlchemy, Postgres, PgAdmin and Postgres extensions.
Proficient with GitLab and CI/CD pipelines.
Mastery in making data driven decisions with proven experience influencing others.
Raise the bar of coding practice through detail-oriented code reviews that ensure quality, consistency and sustainability.
Mastery in understanding software configuration management practices.
Robust knowledge in site reliability engineering by demonstrating ability to rapidly solve, elevate and prevent production issues.
Excellent in problem-solving skills and attention to details.
Strong communication and teamwork abilities.
Comfortable working in startup company mode
Ability to work in an Agile/Scrum development process.
Ability to plan multi-year projects and execute.
Ability to present technical and non-technical material to large audiances.
Adaptable and eager to learn new technologies.
Must be able to obtain a US Secret Clearance.

Nice To Haves

Experience with Data Orchestration platforms (e.g. Dagster), Analytics Workflows (e.g. dbt), Grafana, Prometheus, MinIO and GitLab runners
Experience designing scalable data solutions in a Kubernetes environment.
Skills with a wide variety of data structures, custom and commercial, high and low level.
Understanding of production environment and experience interfacing with management
Ability to build a team by leading and mentoring junior engineers.

Responsibilities

Lead and manage a team of software engineers focused on building enterprise level solutions for data pipelines, including data schema engineering, protobuf models, automated data governance, digital engineering, and database administration
Develop and implement technical strategies, roadmaps, and architectures for data engineering solutions, ensuring alignment with business objectives and industry trends
Collaborate with cross-functional teams, including engineering, operations, and security, to ensure seamless integration and delivery of data solutions
Foster a culture of innovation, experimentation, and continuous learning within the team, promoting best practices and industry standards in data engineering and software development
Drive technical decision-making, ensuring alignment with industry trends, best practices, and company standards
Manage and prioritize project portfolios, ensuring timely and within-budget delivery of data engineering solutions
Develop and manage budgets, forecasts, and resource allocation plans to support data engineering initiatives
Identify, assess, and mitigate technical risks, ensuring the stability and security of our data solutions
Build and maintain relationships with external partners, vendors, and stakeholders to stay informed about industry developments and emerging technologies
Participate in the recruitment, hiring, and onboarding process for data engineering talent, ensuring a diverse and skilled team
Develop and implement processes, metrics, and tools to measure team performance, productivity, and quality

Benefits

health, dental, and vision insurance
health savings accounts
a 401(k) savings plan
disability coverage
life and accident insurance
employee assistance program
legal plan
discounts on things like home, auto, and pet insurance
paid time off
paid holidays
paid parental leave
military leave
bereavement leave
any applicable federal and state sick leave
company recognition program to receive monetary or non-monetary recognition awards