Engineering Manager - Software Engineering

Posted 2 Days Ago
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Bengaluru, Karnataka
Senior level
Artificial Intelligence • Healthtech • Analytics • Biotech
The Role
Lead the Acute Care Data Lakehouse team in developing a data platform for healthcare, focusing on team management, agile methodologies, and DevOps practices.
Summary Generated by Built In

Job Description SummaryAt GE Healthcare, we are dedicated to revolutionizing healthcare through advanced data-driven solutions. Our Data Platform team is building a state-of-the-art Data Lakehouse to empower acute care providers with actionable insights. We are seeking an Engineering Manager who will lead this critical initiative and be instrumental in shaping the future of healthcare analytics.
The Acute Care Data Platform team is working on GE HealthCare’s next generation distributed data platform. It will provide mission critical real-time data about patients and medical devices in acute care settings where patients can be the most vulnerable. As the Engineering Manager for the Data Lakehouse team, you will lead a talented group of Data Engineers and Analysts focused on designing and implementing a cloud-based, scalable, and performant Data Lakehouse tailored for acute care settings. You will promote Agile methodologies, foster a culture of continuous improvement, and champion DevOps practices, all while embodying the principles of Servant Leadership.

Job DescriptionEngineering Manager – Acute Care Data LakehouseRole Summary / Purpose:At GE Healthcare, we are dedicated to revolutionizing healthcare through advanced data-driven solutions. Our Data Platform team is building a state-of-the-art Data Lakehouse to empower acute care providers with actionable insights. We are seeking an Engineering Manager who will lead this critical initiative and be instrumental in shaping the future of healthcare analytics.The Acute Care Data Platform team is working on GE HealthCare’s next generation distributed data platform. It will provide mission critical real-time data about patients and medical devices in acute care settings where patients can be the most vulnerable. As the Engineering Manager for the Data Lakehouse team, you will lead a talented group of Data Engineers and Analysts focused on designing and implementing a cloud-based, scalable, and performant Data Lakehouse tailored for acute care settings. You will promote Agile methodologies, foster a culture of continuous improvement, and champion DevOps practices, all while embodying the principles of Servant Leadership.Key Responsibilities:As the Engineering Manager for our Acute Care Data Platform, Data Lakehouse team you will be responsible for:

  • Team Leadership:
    • Lead, mentor, and manage a full-stack team of data professionals (including data engineers, architects, product owners and others), fostering an exciting, collaborative and innovative environment.
    • Recruit top talent and support career development through coaching, performance feedback, and professional growth opportunities.
  • Data Lakehouse Development:
    • Oversee the architecture, design, and implementation of the Acute Care Data Lakehouse which integrates structured and unstructured acute care data from multiple internal and external sources.
    • Ensure data quality transparency, compliance to various geo-political data laws and regulations as well as consistency, discoverability and reliability throughout the data lifecycle.
  • Agile Practices:
    • Advocate for Agile methodologies within the team, facilitating sprint planning, daily stand-ups, retrospectives, and continuous feedback cycles.
    • Develop / Implement Agile KPIs to demonstrate adherence and show team performance improvements over time.
    • Collaborate closely with product owners and stakeholders to define, prioritize, and deliver features that meet business needs.
  • DevOps and Automation:
    • Implement and refine DevOps practices to streamline integration and deployment pipelines in order to enhance operational efficiency.
    • Champion automation of data workflows, CI/CD, and monitoring processes to ensure high availability and performance.
  • Servant Leadership:
    • Serve as an advocate for your team, removing obstacles and empowering team members to take ownership of their work.
    • Foster a safe environment where team members feel valued and encouraged to innovate, share ideas, and contribute to decision-making processes.
    • Practice active listening and provide support to team members in both professional and personal challenges, emphasizing a people-first approach.
  • Stakeholder Collaboration:
    • Work closely with cross-functional teams, including data scientists, product managers, and clinical healthcare professionals, to understand data requirements and inform decision-making.
    • Communicate effectively with technical and non-technical stakeholders to ensure alignment and transparency.
  • Continuous Improvement:
    • Foster a culture of continuous improvement, encouraging experimentation and adoption of best practices in data engineering and analytics.
    • Stay current with industry trends, technologies, and best practices related to data platforms and acute care systems.

Desired Qualifications:

  • Bachelor’s or master’s degree in computer science, Data Engineering, Information Systems, or a related field.
  • 5+ years of experience in Data Engineering or Analytics, with a proven track record of delivering large-scale data solutions.
  • 2+ years of experience in a management role, successfully leading engineering teams in an Agile environment.
  • Strong knowledge of data technologies, including data warehousing, ETL processes, and cloud platforms (e.g., AWS, Azure, GCP).
  • Proficiency in programming languages such as Java, Python, SQL, or Scala.
  • Solid understanding of DevOps principles, CI/CD pipelines, and automation tools.
  • 3+ years’ experience in HealthCare, life sciences, or clinical data technology.
  • Excellent communication, interpersonal, and problem-solving skills.
  • Passion for healthcare data, analytics, and improving patient outcomes.

Why Join Us:

  • Be part of a mission-driven team dedicated to enhancing the quality of acute care through data.
  • Opportunity to shape and influence the future of healthcare analytics and decisions.
  • Collaborative and supportive work culture that values personal and professional growth.
  • Competitive salary, comprehensive benefits, and flexible work arrangements.

If you are a visionary leader with a strong technical background in Data Engineering, a passion for Agile practices, and a commitment to Servant Leadership, we would love to hear from you!Inclusion and DiversityGE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration, and support.

Additional Information

Relocation Assistance Provided: No

Top Skills

Automation
AWS
Azure
Ci/Cd
Cloud Platforms
Data Analytics
Data Engineering
Data Warehousing
DevOps
ETL
GCP
Java
Python
Scala
SQL
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The Company
Chicago, IL
50,282 Employees
On-site Workplace
Year Founded: 1892

What We Do

Every day millions of people feel the impact of our intelligent devices, advanced analytics and artificial intelligence.

As a leading global medical technology and digital solutions innovator, GE Healthcare enables clinicians to make faster, more informed decisions through intelligent devices, data analytics, applications and services, supported by its Edison intelligence platform.

With over 100 years of healthcare industry experience and around 50,000 employees globally, the company operates at the center of an ecosystem working toward precision health, digitizing healthcare, helping drive productivity and improve outcomes for patients, providers, health systems and researchers around the world.

We embrace a culture of respect, transparency, integrity and diversity.

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