Senior Manager, Data Engineering & Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Assemble and manage a team of Analytics Engineers and Data Engineers, establishing technical standards across both fields.

• Quickly expand the team to 6–8 engineers within a year while creating well-defined career progression paths.

• Foster engineering excellence through practices such as code review, automated testing, and continuous delivery.

• Take ownership of the architecture and strategy for data ingestion, warehouse modeling, and the analytics engineering layer, which includes dbt, semantic layer, and marts.

• Develop and enforce frameworks for data governance and security, encompassing RBAC, PII/PHI management, masking, and tokenization.

• Perform code and architecture reviews, eliminate technical obstacles, and resolve critical platform challenges.

• Ensure that internal stakeholder groups have the necessary tools and access models.

• Act as the product manager for data-related production systems and core infrastructure.

• Convert internal partner needs into a cohesive, actionable roadmap.

• Establish frameworks for decentralized internal applications and rapidly prototyped tools utilizing Cherry’s data surfaces.

⛳️ Requirements

• Minimum of 7 years in data engineering and/or analytics engineering.

• Direct experience in people management.

• Proven ability to attract, hire, and quickly scale engineering talent while upholding a high technical standard.

• Demonstrated experience managing the end-to-end architecture of data platforms from ingestion to consumption.

• Background as a product owner or liaison for technical platform tools.

• Proven ability to balance business feature requests with technical debt and reliability.

• Experience in regulated industries such as FinTech, Healthcare, or Insurtech is highly preferred.

• Extensive knowledge of cloud data warehouses like Snowflake.

• Familiarity with orchestration tools such as Airflow.

• Experience with ingestion tools such as Fivetran.

• Expertise in dbt and analytics engineering practices, including data modeling, semantic layer design, testing, and documentation.

• Practical experience in designing RBAC frameworks, PII/PHI tokenization, masking, and automated access control systems.

• Experience mentoring across various technical roles and building senior/lead layers.

• Ability to convey technical trade-offs and governance requirements to both technical and non-technical executive stakeholders.

• Strong prioritization skills when governance, reliability, and business feature requests vie for roadmap capacity.

• Must be legally authorized to work in the United States; the application will inquire if visa sponsorship is required.

🏝️ Benefits

• Competitive Base Salary + Bonus.

• Generous equity grant.

• Medical, vision, and dental benefits.

• Fully remote company.

• Flexible PTO.