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