Senior Engineering Manager, Data Platform

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

📋 Description

• Lead and develop the data engineering team through coaching, feedback, career advancement, recruitment, retention, and fostering an inclusive culture.

• Implement delivery and operational rituals, including planning sessions, retrospectives, and incident reviews.

• Define and enhance architecture for data ingestion, transformation, orchestration, governance, and data products.

• Drive a strategic roadmap that balances foundational platform investments with the needs of product delivery.

• Advocate for dbt patterns, data contracts, testing, and comprehensive documentation.

• Ensure that pipelines and models are accurate, observable, secure, and scalable.

• Enhance reliability through alerting, service level agreements (SLAs), service level objectives (SLOs), runbooks, and root-cause analysis.

• Collaborate with platform engineering on deployment strategies, cost optimization, and environmental planning.

• Work alongside Product, Analytics, Security, and Engineering leaders.

• Effectively communicate trade-offs, risks, and timelines to stakeholders.

• Influence the organization regarding data quality, trust, and accountability.

• Engage in architecture reviews, pairing sessions, design documentation, and occasional implementation tasks.

• Make informed tooling and build-versus-buy decisions concerning Snowflake, DBT, and Sigma.

⛳️ Requirements

• A minimum of 5 years of experience in an engineering management role, leading teams in a dynamic, high-growth setting.

• Direct experience managing a data engineering or data platform team.

• Demonstrated ability to scale teams and systems through recruitment, processes, architecture, and delivery.

• Exceptional communication and collaboration skills among both technical and non-technical stakeholders.

• A player-coach mindset with prior experience as an individual contributor.

• Hands-on knowledge of Snowflake, DBT, or Sigma, with in-depth experience in at least one of these technologies.

• Experience in developing modern data platforms, including ELT, modeling layers, governance, and self-service analytics.

• Willingness to travel approximately five to six times a year, including Connect Weeks and additional leadership travel to Nashville, TN, or another designated location.

• Preferred: experience with streaming data patterns and Kafka.

• Preferred: experience managing production systems in AWS and collaborating with platform and SRE teams.

• Preferred: exposure to AI/ML or data science workflows.

• Preferred: proficiency in TypeScript and Python.

• Preferred: familiarity with data quality testing, lineage, observability, and access control methodologies.

🏝️ Benefits

• Equity in the form of stock options.

• Comprehensive medical, dental, and vision coverage aligned with market standards.

• Unlimited PTO policy / uncapped vacation [US ONLY].

• Learning Grant program for continued professional development.

• 401k with matching contributions and expedited vesting [US ONLY].

• Competitive benefits package.

• An inclusive workplace with reasonable accommodations.