Engineering Manager - AWS Platform & Iceberg Lakehouse

Work Your Magic with us!  

Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.  

About the Role:

We are seeking a Senior Engineering Manager to lead the AWS based Cloud Data Lakehouse & Data Infra Platform Engineering team within the "Data & AI Organization". This role is pivotal in driving governance, security, reliability, and monitoring of the AWS  Cloud Organisation which power hundreds of marquee use cases in the Uptimize Data & AI ecosystem. As part of our hub-hub-spoke model, this role will ensure seamless collaboration across stakeholders, foster a high-performing engineering & operations culture, and deliver technical excellence.

The ideal candidate will have deep engineering expertise, strong leadership skills, and the ability to manage a team of engineers (software, reliability and operations) while acting as a technical leader, consensus-builder & facilitator.

Key Responsibilities

1. Leadership & Team Management

- Manage and mentor a team of engineers, including those focused on platform operations and reliability.
- Mentor engineers in their career development, identify talent, and foster an environment conducive to growth.
- Build a high-performing engineering culture by promoting automation, observability, collaboration, and accountability.

2. Technical Leadership

- Provide deep technical expertise and leadership in managing the D&A Platform.
- Act as a trusted technical advisor to the Product Owners facilitating technical conversations and decision-making.
- Collaborate with architects and engineers across teams to ensure alignment on technical designs and solutions.
- Oversee the operational reliability, scalability, and security of the platforms.

3. Stakeholder Collaboration

- Work closely with Product Owners to align engineering efforts with stakeholder value and business goals.
- Build communities of practitioners in Sector Data Offices and Business teams to drive shared best practices and engineering excellence.
- Facilitate collaboration between the MDAO Agile team and stakeholders across hubs and spokes.

4. Platform Governance and Excellence

- Drive best practices in governance, monitoring, and security for the platforms.
- Ensure that platform reliability and operational excellence meet enterprise-grade standards.
- Stay abreast of advancements in platform engineering, cloud technologies, and software / data engineering, integrating relevant innovations into the team’s work.

Qualifications

Must-Have:

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 10+ years of hands-on experience in engineering roles, with a focus on data platforms, compute infrastructure, and cloud security
- Proven experience managing and mentoring engineers, fostering talent, and driving team performance.
- Deep technical expertise in AWS - specifically in the areas of AWS Networking & Security (Multi-Account TGW / VPC, IAM, OAuth, Identity Center)
- Deep technical expertise in building and operating Enterprise Datalakes (preferably good understanding of Apache Iceberg and other Open Table formats)
- A hands-on approach to Engineering Leadership with the ability to walk the talk
- Strong understanding of governance, security, monitoring, and reliability in enterprise-grade platforms.
- Excellent communication and interpersonal skills, with the ability to engage with technical and non-technical stakeholders effectively.

Preferred:

- Knowledge of Agile methodologies and experience working in Agile teams.
- Prior experience integrating enterprise platforms with business use cases and delivering AI/analytics solutions.
- Strong problem-solving skills and a track record of delivering impactful technical solutions.

Why Join Us?

At our Data & AI Organization, we believe in empowering our teams to innovate, lead, and make a difference. As a Senior Engineering Manager, you will have the opportunity to:

- Work on cutting-edge technologies with a mission to deliver data-driven insights and AI solutions.
- Lead and grow a talented team of engineers who are passionate about building robust platforms and impactful products.
- Collaborate with diverse teams across sectors, driving innovation and shaping the future of data and AI at Merck.

Ready to Apply?
If you are a passionate engineering leader with a knack for building scalable platforms and mentoring teams, we want to hear from you. Join us and be a part of transforming data into actionable insights that drive impact.

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
 
Apply now and become a part of our diverse team!