Engineering Manager - Connector Factory

We are looking for an Engineering Manager for the Connector Factory team, responsible for guiding a dedicated group of engineers who design, build, and maintain scalable, reliable, and secure data pipelines. This position demands strong leadership skills, strategic vision, and the ability to create a collaborative and growth-oriented culture. As Engineering Manager, you will oversee projects that directly impact organizational decisions, drive product innovation, and support customer success. 

Key Responsibilities

Team Leadership & Development 

• Mentor and coach engineers through regular one-on-one meetings, feedback sessions, and structured career development plans. 
• Promote a culture of accountability, teamwork, and continuous improvement. 
• Manage recruitment, onboarding, and resource allocation. 

Project & Delivery Management 

• Lead project planning, execution, and delivery of impactful data solutions. 
• Manage sprint cycles, prioritize backlogs, and coordinate cross-functional dependencies. 
• Ensure timely completion of high-quality, high-performance features. 

Technical Strategy & Execution 

• Oversee architectural decisions and technical reviews for data pipelines and ETL workflows. 
• Champion best practices in data engineering, including observability, testing, and documentation. 
• Encourage adoption of modern tools like Databricks, Snowflake and PySpark. 

Stakeholder Collaboration

• Work with Product Managers, Business Analysts, and QA to define requirements and deliver effective solutions. 
• Communicate progress, potential risks, and blockers to leadership and stakeholders. 
• Align engineering work with broader business goals and strategies. 

Process Optimization & Quality Assurance 

• Implement agile practices such as retrospectives and continuous improvement. 
• Monitor and enhance pipeline performance, data reliability, and latency. 
• Maintain compliance with data governance and security protocols. 

Qualifications

• Demonstrated experience managing engineering teams in data-driven environments. 
• Strong technical background in distributed systems, data platforms, and cloud infrastructure. 
• Exceptional communication, leadership, and organizational skills. 
• Experienced with agile methodologies and cross-functional teamwork. 
• Background in managing data teams focused on US healthcare data analysis. 

Preferred Tools & Technologies 

• Databricks, Snowflake, SQL, PySpark 
• Git, CI/CD pipelines 
• Cloud platforms (Azure, AWS) 

Our team values open collaboration each day, frequent standup meetings, and a workplace grounded in mutual respect and ongoing professional growth. This role prioritizes direct, hands-on leadership and encourages active involvement with team members. If you are passionate about data engineering and ready to lead a talented team, we encourage you to apply!