Job Description Summary

Job Description

We are the makers of possible 

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities. 

We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a maker of possible with us. 

The Software Technology Solutions (STS) organization is BD’s global software innovation engine that enables smart connectivity, data driven insights across devices, with world class technology capabilities to make a difference in patient lives. In STS, we offer flexibility so you can successfully balance your work and personal responsibilities. We care about our associates and ensure we have servant leaders to help you grow your career, provide feedback and recognition, and empower you to show up every day as your authentic self. We are passionate about improving patient outcomes through agile delivery and developing innovative software. Armed with a growth mindset and a desire to want to do more, learn more, impact more, you are in a great position to join STS as a Sr. Manager, Data platform to help BD advance the world of health in ways you may never have imagined in your career. 

About the role:

The Becton Dickinson Software Technology Solutions Division (STS) seeks a hands-on Sr. Engineering Manager focused on building and maintaining a Data platform.

This position requires an enthusiastic leader with a rare mix of intelligence, integrity, and technical skill that allows you to focus on building a team through mentoring, coaching, hiring, and solving challenging technical problems.

This highly collaborative position will partner with and advise multiple teams by guiding the creation and consumption of our data pipelines.

Responsibilities:

• Lead and manage a team of engineers to design, build, and scale the cloud data platform, ensuring it meets business needs and technical requirements.

• Design and implement data processing services (real-time and batch) with a focus on high scalability, performance, and cost-efficiency.

• Apply API-first design principles to build modular, reusable, and well-documented services.

• Champion Domain-Driven Design (DDD) in the architecture and implementation of services, ensuring strong domain models and boundary context.

• Leverage serverless architecture (e.g., AWS Lambda, Fargate) for cost-effective, scalable services that minimize infrastructure overhead.

• Implement best practices in Software engineering, CI/CD pipelines, testing, and monitoring to maintain high-quality releases.

• Collaborate closely with product management, architecture, and other cross-functional teams to ensure seamless delivery of features.

• Drive a culture of continuous improvement, promoting technical excellence and modern cloud development practices.

• Monitor and optimize AWS resource usage to ensure a cost-effective platform.

• Attracts, develops, and retains BD associates.

• Work in a collaborative environment to ensure a shared understanding of complex topics.

• Contribute to and lead process improvement initiatives across the entire department.

Experience Required

• 10+ years of software development experience, with at least 4+ years in a leadership or management role.

• Proven hands-on experience with AWS services and architectures, including serverless computing (e.g., Lambda, API Gateway, DynamoDB, S3, etc.).

• Strong expertise in Go programming language.

• Deep understanding of API-first development and Domain-Driven Design (DDD).

• Experience building data processing pipelines (near-real-time and batch) with high availability, scalability, and performance.

• Familiarity with event-driven architectures and data streaming technologies (e.g., Kinesis, Kafka).

• Experience with CI/CD practices, automated testing, and monitoring for cloud-native applications.

• Excellent problem-solving and analytical skills with a focus on delivering scalable, maintainable, and high-performing solutions.

• Strong communication and leadership skills, with experience leading and mentoring engineer