Senior Engineering Manager, Data Platform

. Lead and grow the data engineering team through coaching, feedback, career development, hiring, retention, and inclusive culture building .

Posted 10/15/2026full-timeRemote • Tennessee • United StatesSenior💰 $225,000 - $265,000 per yearWebsite

Tools & technologies

AWSKafkaPythonTypeScript

Key responsibilities & impact

Lead and grow the data engineering team through coaching, feedback, career development, hiring, retention, and inclusive culture building
Establish delivery and operational rituals, including planning, retrospectives, and incident reviews
Define and evolve architecture for ingestion, transformation, orchestration, governance, and data products
Drive a roadmap balancing foundational platform investments with product delivery needs
Champion dbt patterns, data contracts, testing, and documentation
Ensure pipelines and models are accurate, observable, secure, and scalable
Improve reliability through alerting, SLAs and SLOs, runbooks, and root-cause analysis
Partner with platform engineering on deployment patterns, cost optimization, and environment strategy
Collaborate with Product, Analytics, Security, and Engineering leaders
Communicate tradeoffs, risks, and timelines to stakeholders
Influence the organization on data quality, trust, and accountability
Participate in architecture reviews, pairing, design documents, and occasional implementation
Make tooling and build-versus-buy decisions across Snowflake, DBT, and Sigma

What you’ll need

5+ years of experience in an engineering management role leading teams in a fast-paced, high-growth environment
Direct experience leading a data engineering or data platform team
Proven ability to scale teams and systems through hiring, process, architecture, and delivery
Excellent communication and collaboration skills across technical and non-technical stakeholders
Player-coach mindset with prior individual contributor experience
Hands-on familiarity with Snowflake, DBT, or Sigma, with deep experience in at least one
Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics
Expectation to travel approximately five to six times per 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 operating production systems in AWS and partnering with platform and SRE teams
Preferred: exposure to AI/ML or data science workflows
Preferred: TypeScript and Python experience
Preferred: familiarity with data quality testing, lineage, observability, and access control patterns

Comp & perks