Head of Data Platform & Engineering (Remote)

Fuze Health Inc.; Texas; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Full‑time employee benefits

Equity eligible

Remote work option

Job summary

Fuze Health is seeking a Senior Manager, Data Engineering to lead Alto’s data platform strategy, architecture, and execution. You will manage a team of data engineers and partner with Product, Engineering, Data Science, Analytics, and Finance to deliver high-impact data initiatives.

Responsibilities include shaping the data stack, ensuring data quality and governance, implementing reliable pipelines with Fivetran, Airflow, dbt, Snowflake and Looker, and driving scalable analytics across the

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; 10+ years of experience in data engineering, platform engineering, or related data infrastructure roles.
• Proven experience architecting, operating, and scaling modern cloud-based data platforms, including data ingestion, orchestration, cloud data warehouses, transformation frameworks, and semantic serving layers.
• Strong expertise in data modeling principles, ELT architectures, and production-grade pipeline orchestration.
• Hands-on experience with cloud environments (AWS, GCP, or Azure).
• Proven track record owning platform reliability, including defining SLAs, implementing observability and data quality frameworks, and leading incident response and postmortems for production data systems.
• Experience building data platforms in healthcare, pharmacy, fintech, or other regulated industries.
• Familiarity with HIPAA and healthcare data privacy standards.
• Experience supporting machine learning pipelines, feature engineering workflows, or feature stores.
• Exposure to experimentation platforms and product analytics ecosystems.
• Strong SQL and programming proficiency (e.g., Python, Scala, or similar).
• Experience implementing data contracts and data product frameworks across domain teams.

Responsibilities

• Lead the strategy, architecture, and execution of Alto’s data platform.
• Manage, build and lead a high-performing team of Data Engineers.
• Define and execute the long-term vision for Alto’s data platform, aligned with company strategy.
• Partner with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams to prioritize and deliver data initiatives.
• Establish clear career paths, performance standards, and hiring plans to scale the team.
• Build stakeholder trust by translating business needs into scalable data solutions.
• Own the design and evolution of Alto’s data architecture, including ingestion, transformation, orchestration, storage, and serving layers.
• Administer core tooling (Fivetran, Airflow, dbt, Snowflake, Looker) ensuring reliability and security.
• Ensure data pipelines reliability, observability, data quality, and performance; scale for higher volume and real-time needs.
• Collaborate with Data Science/ML teams to support experimentation and model development.

Skills

SQL proficiency

Python/Scala

Cloud platforms

Data governance

Education

Bachelor’s degree in CS/Engineering/Math or related field

Tools

Fivetran

Airflow

dbt

Snowflake

Looker

Job description

Fuze Health is seeking a Senior Manager, Data Engineering to lead Alto’s data platform strategy, architecture, and execution. You will manage a team of data engineers and partner with Product, Engineering, Data Science, Analytics, and Finance to deliver high-impact data initiatives.

Responsibilities include shaping the data stack, ensuring data quality and governance, implementing reliable pipelines with Fivetran, Airflow, dbt, Snowflake and Looker, and driving scalable analytics across the