Data Platform Team Lead

About Hello Heart

Hello Heart is on a mission to change the way people care for their hearts. The company provides the first app and connected heart monitor to help people track and manage their heart health. With Hello Heart, users take steps to control their risk of heart attacks and stroke – the leading cause of death in the United States. Peer-reviewed studies have shown that high-risk users of Hello Heart have seen meaningful drops in blood pressure, cholesterol and even weight. Recognized as the digital leader in preventive heart health, Hello Heart is trusted by more than 130 leading Fortune 500 and government employers, national health plans, and labor organizations. Founded in 2013, Hello Heart has raised more than $138 million from top venture firms and is a best-in-class solution on the American Heart Association’s Innovators’ Network and CVS Health Point Solutions Management platform. Visit www.helloheart.com for more information.

About The Role

Hello Heart is building the next generation of digital heart-health products and our data platform is the foundation.

We’re looking for a Data Platform Team Lead to own and evolve an AI-first, cloud-native data platform that already:

• Serves 100+ data users across the company
• Powers ML models impacting thousands of users every day
• Supports production systems in a company that literally saves lives
  
  

You will lead a growing team of 4 data engineers and 1 BI developer, and work in close, day-to-day partnership with Product, Analytics, Data Science & Engineering

Hello Heart’s future is serving millions of users across multiple products in the heart-health ecosystem. This role owns the platform that will scale us there. We are intentionally building an AI-first / agentic data platform.

That Means

• Automating table creation, validation, and testing
• Agent-driven monitoring for data quality, freshness, and failures
• Using agents to generate and maintain documentation
• Reducing manual operational overhead so humans focus on architecture, leverage, and product impact
  
  

You will have full organizational support to rethink how a modern data platform should work in an AI-native environment, not incremental improvements, but fundamental design decisions.

Our Technologies stack: Python, Spark, Airflow, DBT, Kafka, AWS (Glue, EMR, S3, Athena and more), Snowflake, Docker, Kubernetes, MongoDB, Redis, Postgres, Elasticsearch, and evolving

Responsibilities

• Platform Leadership & Team Management: Lead, mentor, and grow a team of senior data engineers and BI developers. Set a high bar for technical quality, ownership, and delivery.
• Core Data Platform Architecture: Own the design, evolution, and reliability of our cloud-native data platform, balancing scalability, cost, security, and developer velocity. Deep Collaboration with R&D: Work closely with product, engineering, and ML teams to ensure the data platform enables fast experimentation, production ML, and new product development.
• Production-Grade Data Systems: Oversee end-to-end data pipelines, streaming and batch processing, semantic layers, and analytics foundations that serve the entire organization.
• Operational Excellence: Ensure data quality, freshness, observability, and incident response meet the standards of a mission-critical system
  
  

Qualifications

• 7+ years of experience designing and operating production-scale data systems
• 4+ years of experience leading data or platform engineering teams
• Proven experience building and operating cloud-native data platforms on AWS and Snowflake
• Deep understanding of trade-offs across reliability, cost, performance, and security
• Experience owning shared platforms supporting multiple teams and products
• Automation and AI are treated as practical engineering leverage rather than buzzwords
• Strong experience with the AWS ecosystem and Snowflake
• Hands-on experience with Python and modern data tooling
• Experience with distributed systems, including Spark, streaming, and large-scale batch processing
• Production experience with Kubernetes
• Experience collaborating closely with analytics, engineering, data science, and product teams
• Comfort leading architectural discussions and making complex technical trade-offs
• Experience working with US-based teams is considered an advantage
  
  

Hello Heart has a positive, diverse, and supportive culture - we look for people who are collaborative, creative, and courageous. Oh, and if you want to see some recent evidence of the fun things we do at Hello Heart, check out our Instagram page.