Coach engineers through clear expectations, feedback, and career development
Hire and retain top talent and build a high-performance, inclusive culture
Establish strong delivery and operational rituals, including planning, retrospectives, and incident reviews
Define and evolve the architecture for ingestion, transformation, orchestration, governance, and data products
Drive a roadmap that balances foundational platform investments with product delivery needs
Champion best practices, including 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 to ensure data enables customer and business outcomes
Communicate clearly with stakeholders on tradeoffs, risks, and timelines
Influence the broader organization on data quality, trust, and accountability
Stay close to the work through architecture reviews, pairing, design docs, and occasional implementation
Bring strong judgment to tooling and build-versus-buy decisions across Snowflake, DBT, and Sigma

Requirements

5+ years of experience in an engineering management role leading teams in a fast-paced, high-growth environment
Proven ability to scale teams and systems through hiring, process, architecture, and delivery
Excellent communication and collaboration skills across technical and non-technical stakeholders
Passion for fostering a culture of innovation, learning, and continuous improvement
Player-coach mindset with prior experience as an individual contributor
Hands-on familiarity with Snowflake, DBT, or Sigma (deep experience in at least one)
Experience building modern data platforms, including ELT, modeling layers, governance, and self-serve analytics
Experience with streaming data patterns and event-driven architectures using Kafka (preferred)
Experience operating production systems in AWS and partnering closely with platform and SRE teams (preferred)
Comfort working in TypeScript and Python ecosystems for data-adjacent services and tooling (preferred)

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

engineering managementdata architecturedata governancedata modelingdata transformationdata ingestiondata orchestrationdata contractstestingroot-cause analysis

Soft Skills

coachingcommunicationcollaborationleadershipproblem-solvingjudgmentinfluenceinnovationcontinuous improvementteam building