Senior Manager, Data Engineering

Alto Pharmacy; California (MD); On-site; USD 160,000 - 230,000; Full time

Job summary

A healthcare technology firm in Maryland seeks a Data Platform Architect with over 10 years of experience in data engineering and leading technical teams. Candidates should have strong skills in cloud environments, data modeling, and machine learning pipelines, with familiarity in healthcare regulations like HIPAA. This position involves architecting and scaling modern data platforms while ensuring platform reliability and stakeholder communication. The role offers a competitive compensation package and the opportunity to innovate in a fast-paced environment.

Qualifications

• 10+ years of experience in data engineering or platform engineering roles.
• 5+ years of experience leading high-performing technical teams.
• Proven experience with modern cloud-based data platforms.
• 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 operating in high-growth, fast-paced technology organizations.
• Strong communication skills with the ability to influence technical and non-technical stakeholders alike.
• 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.
• Experience with streaming architectures (e.g., Kafka, Kinesis, Pub/Sub) and real-time analytics use cases.

Responsibilities

• Architect, operate, and scale cloud-based data platforms.
• Define SLAs and implement observability and data quality frameworks.
• Influence technical and non-technical stakeholders.
• Contribute to data platform thinking across ingestion, orchestration, warehousing, and semantic serving layers.

Skills

Data modeling principles

ELT architectures

Cloud environments (AWS, GCP, Azure)

Strong SQL proficiency

Programming (Python, Scala)

Cloud-based data platforms

Streaming architectures (Kafka, Kinesis)

Machine learning pipelines

Stakeholder influence

Education

Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field

Advanced degree preferred

Tools

AWS

GCP

Azure

Kafka/Kinesis

Job description

* Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field; advanced degree preferred.* 10+ years of experience in data engineering, platform engineering, or related data infrastructure roles.* 5+ years of experience leading and scaling high-performing technical teams.* 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 operating in high-growth, fast-paced technology organizations.* Strong communication skills with the ability to influence technical and non-technical stakeholders alike.* 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.* Experience with streaming architectures (e.g., Kafka, Kinesis, Pub/Sub) and real-time analytics use cases.* 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.*Fuze Health recruiters and hiring managers may use automated decision-making tools to assist with identifying candidates who match the stated job requirements, and to what extent. These tools are designed to help ensure fairness in all aspects of the hiring process by providing recruiters and hiring managers with data-backed insights based on information provided in your resume, including work experience, education, and other skills. If you have any questions or would like to request an alternative process, please contact us at [e-mail]. To learn about Fuze Health’s privacy practices including compliance with applicable privacy laws, please* *.*