Data Engineering Lead

Your Role

Lead the Consumer Health data team across all Consumer Products, owning the end-to-end data stack from ingestion to GenAI-powered insights and visualization. With a startup mindset optimize and design architectures that eliminate bottlenecks, enable multi-product flexibility, and integrate seamlessly with enterprise platforms. Drive innovation through hands-on execution, building a robust foundation for data mesh, lakehouses, and AI-driven automation to support future growth in health tech, emphasizing agnostic, AI-augmented, decentralized architectures.

Key Responsibilities

Team Leadership & Strategy

• Optimize the existing Data Architecture & build integration roadmaps with external platforms, ensuring data interoperability, governance, and compliance.
• Champion the data guild to foster cross-functional collaboration, standardize practices, and promote knowledge sharing for product lines.
  
  

Data Ingestion & Storage

• Own existing repositories, real-time CDC pipelines, and multi-tiered storage for high-performance data handling.
• Optimize ingestion processes, manage schema evolution, and implement solutions directly to boost efficiency.
  
  

Data Orchestration & Modeling

• Optimize BigQuery infrastructure and orchestrate complex pipelines using Airflow.
• Create flexible data models with debt to power analytics, business intelligence, and AI applications.
  
  

Performance & Quality

• Monitor and tune infrastructure, including BigQuery queries and ETL workflows, for peak performance.
• Enforce data quality, governance, and automated compliance to maintain reliability at scale.
  
  

Visualization & Access

• Integrate BigQuery datasets with Tableau/Looker for intuitive self-service analytics.
• Build APIs and semantic layers to streamline data access and consumption
  
  

Technical Leadership & Hands-On Execution

• Collaborate with data scientists, analysts, and stakeholders to translate needs into actionable solutions.
• Code across the stack (Python, SQL, IaC) to build POCs, troubleshoot issues, and deliver end-to-end features with agility.
  
  

AI Integration & Future-Proofing

• Prototype natural language query systems and semantic layers for LLM-driven reporting and insights.
• Prepare the platform for AI advancements, ensuring adaptability and cutting-edge capabilities.
  
  

Qualifications

Required

• 8+ years of hands-on experience across the full data stack (ingestion, orchestration, visualization).
• 3+ years leading data engineering teams, with a track record in cross-functional initiatives and community building.
• Startup experience or mindset: Proven ability to own and deliver complete solutions independently.
• Active coder proficient in Python, SQL, CDC tools, and infrastructure.
• Expertise in BigQuery, Airflow, and dbt for production-scale environments.
• Strong data modeling, performance optimization, and integration with Tableau/Looker.
• Hands-on implementation of data quality and governance frameworks.
• Excellent collaboration and I'm mentorship skills with diverse stakeholders.
• History of building data pipelines from the ground up.
• GCP proficiency, including BigQuery, Airflow, and Cloud Composer.
  
  

Preferred

• Experience integrating large-scale platforms and collaborating across teams.
• Front-End Tracking tools exposure preferred - tealium
• Healthcare background, especially with data platforms and regulations.
• AI/LLM integration, prompt engineering, or semantic layer design for analytics.
• Real-time pipelines (Kafka or equivalents) and CDC tools (Debezium, Fivetran, Stitch).
• Full-stack versatility: APIs, frontend tools, DevOps.
• Track record of 0-to-1 data product development with resource constraints.
  
  

What We're Looking For

A visionary technical leader ready to own the data journey for Consumer Health Products—from raw ingestion to AI insights with ownership mindset. If you're passionate about crafting world-class platforms, leading high-impact teams, cultivating data culture, and scaling for enterprise integration, join us to revolutionize health tech with speed and innovation.