Senior Manager, Data Engineering

This is a fully remote position, open to applicants in Arizona, +12 more states.

📋 Description

• Lead, mentor, and develop a team of Data Engineers.

• Define and implement the long-term vision for Alto’s data platform.

• Collaborate with Product, Engineering, Data Science, Analytics, Finance, and Enterprise teams on impactful data initiatives.

• Establish career development paths, performance metrics, and recruitment strategies.

• Convert business requirements into scalable data solutions.

• Oversee the design and progression of data architecture encompassing ingestion, transformation, orchestration, storage, and serving layers.

• Manage and maintain Fivetran, Airflow, dbt, Snowflake, and Looker.

• Provide a governed platform foundation for analytics transformation logic in dbt.

• Ensure the data platform supports analytics, operational processes, experimentation, and machine learning.

• Maintain pipeline reliability, performance, and freshness through observability, lineage tracking, testing, and operational rigor.

• Scale the platform to accommodate increasing data volume, near-real-time use cases, and regulatory complexities.

• Enhance data governance, access control, privacy, and compliance.

• Define and operationalize SLAs and platform reliability metrics.

• Improve data quality monitoring and incident management.

• Optimize infrastructure performance and cost efficiency.

• Assess emerging technologies for streaming, near-real-time analytics, and scalable AI workflows.

• Facilitate experimentation and measurement with reliable production-grade pipelines.

• Collaborate with Data Science and Machine Learning teams regarding model and feature complexities.

• Promote the adoption of tools and practices that enhance developer velocity and reduce operational burdens.

• Foster data ownership, discoverability, and accountability.

⛳️ Requirements

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

• Over 10 years of experience in data engineering, platform engineering, or similar data infrastructure roles.

• At least 5 years of experience leading and scaling high-performing technical teams.

• Proven experience in architecting, operating, and expanding modern cloud-based data platforms.

• Strong expertise in data modeling principles, ELT architectures, and orchestrating production-grade pipelines.

• Practical experience with AWS, GCP, or Azure.

• Experience in defining SLAs, implementing observability and data quality frameworks, and leading incident response and postmortems for production data systems.

• Background in high-growth, fast-paced technology organizations.

• Excellent communication skills with the ability to influence both technical and non-technical stakeholders.

• Experience with data platforms in healthcare, pharmacy, fintech, or other regulated sectors.

• Familiarity with HIPAA and healthcare data privacy regulations.

• Experience supporting machine learning pipelines, feature engineering workflows, or feature stores.

• Familiarity with streaming architectures like Kafka, Kinesis, or Pub/Sub, and real-time analytics.

• Exposure to experimentation platforms and product analytics ecosystems.

• Strong SQL and programming skills, with proficiency in languages such as Python or Scala.

• Experience implementing data contracts and data product frameworks across domain teams.

• Must reside in one of the specified states.

• Must be authorized to work for any employer in the U.S.

🏝️ Benefits

• Dental, vision, and a variety of group medical plans.

• 401(k) retirement savings plan.

• Group life insurance.

• Accidental death and dismemberment (AD&D) insurance.

• Flexible spending account (FSA) and health savings account (HSA).

• Commuter benefits.

• Employer-funded short-term (STD) and long-term disability (LTD) insurance.

• Supplemental spouse life insurance.

• Legal insurance.

• Employee assistance program.

• Home health testing kits.

• Fertility medication discount program.

• Flexible vacation time.

• Accrued paid sick time.

• 10 paid holidays.

• 2 floating holidays for full-time non-exempt employees.

• Eight weeks of paid parental leave for eligible employees, with additional paid weeks for the birthing parent.

• 4 weeks of paid caregiver leave.

• Monthly Lifestyle Spending Account allowance.