Mixbook

Director of Data Engineering

Mixbook

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Lead

Tech Stack

AirflowAmazon Redshift

About the role

  • Own Mixbook’s data platform end-to-end, including ingestion, orchestration, transformation, and the Redshift data warehouse
  • Establish clear accountability, SLAs, and standards for critical datasets and business metrics
  • Stabilize and harden fragile pipelines, reducing data incidents and reactive firefighting
  • Define and enforce best practices for dbt modeling, data quality, and metric consistency. Deliver analytics-ready models that power Looker and downstream use cases.
  • Partner closely with Platform Engineering, Product Engineering, Data Analytics, and business stakeholders across Marketing, Product, Operations and Finance to align on priorities and tradeoffs
  • Act as the primary point of contact for data reliability and warehouse health at the executive level
  • Make pragmatic build vs. buy decisions and resist unnecessary replatforming or tool churn
  • Lead by building. Write and review production data engineering code. Set technical standards and architectural direction.
  • Enable faster, more confident analytics and experimentation by increasing trust in data
  • Set the stage for future data science, ML and AI capabilities once foundations are solid

Requirements

  • 8+ years of experience in data engineering or adjacent roles
  • Experience as a Senior / Principal Data Engineer, Lead, or hands-on Director
  • Proven track record building or stabilizing data platforms at mid-scale companies
  • Project management/backlog management experience. This person will be expected to build a 12 month roadmap and drive prioritization.
  • Deep experience with:
  • Data warehousing (Redshift or similar)
  • dbt and analytics data modeling
  • Orchestration tools (Dagster, Airflow, etc.)
  • Data ingestion, pipeline reliability, and observability
  • Comfortable operating with a small team and high accountability
  • Strong ownership mindset — you feel personally responsible for outcomes
  • A proven track record of improving data reliability, data quality, and metric consistency in a real business environment
  • The ability to prioritize ruthlessly and say “no” constructively when tradeoffs are required
  • Experience working through legacy data systems and incrementally improving them without disrupting the business
  • Clear, confident communication skills—especially when explaining technical tradeoffs to non-technical stakeholders
  • An ownership mindset: you take personal responsibility for whether the data platform works or doesn’t
Benefits
  • Competitive benefits and perks to support your well-being

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringdata warehousingdbtanalytics data modelingorchestration toolsdata ingestionpipeline reliabilityobservabilitydata qualitymetric consistency
Soft skills
ownership mindsetclear communicationprioritizationaccountabilityproject managementstakeholder managementleadershipcollaborationproblem-solvingadaptability