Engineering Manager, Data

Why Charlie Health?

We are currently facing a nationwide mental health epidemic marked by rising rates of depression, anxiety, trauma, substance use disorders, and suicide. At the same time, those seeking help often encounter barriers—whether geographic, financial, or systemic—that prevent them from receiving timely and effective care. This urgent need calls for a reimagined approach to behavioral health treatment.

At Charlie Health, our mission is to connect the world to life-saving mental health treatment. Our innovative virtual programs combine curated group sessions, individual therapy, and family therapy, delivered through personalized, evidence-based treatment plans designed for sustainable healing from the comfort of home. By connecting individuals with shared experiences and fostering supportive communities, Charlie Health provides a pathway to long-term recovery, with over 90% of our clients seeing improvement in their most challenging mental health symptoms.

Every member of our team shares a deep commitment to this mission. If you’re driven to make a meaningful impact, we invite you to join us in reshaping the future of mental healthcare.

About the Role

The Data Engineering Manager is responsible for leading the team’s delivery, ensuring structured execution, clear prioritization, and alignment with business needs. They own sprint ceremonies, roadmap planning, and team operations, driving efficiency and accountability. This role focuses on enabling the team to deliver high-quality, reliable data solutions by improving processes, fostering cross-functional collaboration, and managing team performance. As a hands-on leader, they will provide mentorship, remove blockers, contribute technically as needed, and create a culture of execution and continuous improvement.

The Data Engineering manager will partner closely with Software Engineering, Analytics Engineering, Machine Learning, and business stakeholders to develop and execute a comprehensive data strategy and roadmap.

We’re a team of passionate, forward-thinking professionals eager to take on the challenge of the mental health crisis and play a formative role in providing life-saving solutions. If you’re inspired by our mission and energized by the opportunity to increase access to mental healthcare and impact millions of lives in a profound way, apply today.

Responsibilities

• Drive execution, ensuring the team delivers high-quality, reliable data solutions aligned with business priorities.
• Lead sprint ceremonies, roadmap planning, and prioritization in partnership with stakeholders.
• Work closely with Product, Analytics, Machine Learning, and Engineering to align data initiatives with company needs.
• Identify bottlenecks and implement improvements to team workflows, tools, and development practices.
• Support career growth, provide feedback, and develop a high-performing data engineering team.
• Oversee data integrity and ensure high-quality, accessible data across analytical and transactional systems.
• Contribute technically as needed, guiding architecture, troubleshooting issues, and supporting critical data initiatives.
• Establish metrics to track progress, communicate priorities, and demonstrate business impact.

Requirements

• 2+ years of experience managing and mentoring data engineers, with a focus on execution and delivery and 6+ years of data or software engineering experience.
• Demonstrated success in driving team operations, including sprint ceremonies, roadmap planning, and prioritization.
• Hands-on experience building and maintaining ELT pipelines, working with SQL, DBT, Python, and OLAP databases like Snowflake.
• Track record of improving team processes, optimizing workflows, and driving measurable impact.
• Experience collaborating with cross-functional teams, including Product, Analytics, Machine Learning, and Engineering, to align data initiatives with business goals.
• Strong communication skills, with a history of effectively translating technical concepts for non-technical stakeholders.
• Experience managing ambiguity, breaking down complex problems, and driving clear, iterative solutions.
• History of coaching and developing talent, fostering a…