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SkillableSkillableUnited States

Manager, Data Engineering

Manages a data engineering team while owning delivery of scalable, reliable enterprise data pipelines and lakehouse data products. The role requires 10+ years of software or data engineering experience, direct people management, and hands-on expertise with Databricks, Boomi/Rivery, Delta Lake, and Medallion architecture.

140k – 185k/yr
Remote10+ YOEData Engineering

About the role

Responsibilities

  • Manage a team of at least five employees, including hiring, onboarding, performance reviews, coaching, and accountability.
  • Translate enterprise data platform architecture into execution plans, backlogs, and measurable outcomes.
  • Lead sprint planning, task decomposition, delegation, delivery, engineering reviews, and quality assurance.
  • Establish maintainable, organized, and repeatable data engineering standards.
  • Implement Medallion architecture across Bronze, Silver, and Gold layers using Boomi, Rivery, dbt, Azure Databricks, Delta tables, and SQL Server.
  • Partner with the Data Architect to create implementation patterns, reference pipelines, and guardrails.
  • Establish DataOps and SDLC practices, including CI/CD, branching and release patterns, code reviews, runbooks, and operational readiness.
  • Improve pipeline observability and reliability through monitoring of freshness, staleness, failures, and data quality signals.
  • Lead incident and support response practices.
  • Partner with business stakeholders to clarify requirements and scope platform-aligned work.
  • Mentor engineers, develop future leaders, and create succession plans.

Requirements

  • Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field, or equivalent professional experience.
  • 10+ years of relevant professional experience in software or data engineering, including production data pipelines and data platforms.
  • 2+ years in a lead capacity, including team leadership, task breakdown, reviews, delivery ownership, and cross-functional coordination.
  • Direct people-management experience, including hiring or interviewing and formal performance reviews.
  • Hands-on experience with Databricks, Spark, Boomi or Rivery, and Delta Lake patterns.
  • Strong ETL/ELT design and implementation experience across ingestion, orchestration, transformation, and curated data layers.
  • Experience defining efficient data access patterns for upstream SQL Server systems, including read replicas, CDC, snapshot isolation, and batching.
  • Expertise implementing Medallion architecture with clear Bronze, Silver, and Gold separation and consumer-access guardrails.
  • Experience selecting ingestion strategies for APIs, CDC-enabled databases, and file drops.
  • Track record of improving team maturity through standards, patterns, documentation, and predictable delivery.
  • Strong communication, organization, prioritization, stakeholder-partnership, mentoring, and presentation skills.
  • Experience with Microsoft Office and Microsoft Teams or similar communication tools.
  • Experience working in fully remote teams is preferred.

Compensation and Benefits

  • Base salary: $140,000–$185,000 annually.
  • Compensation depends on level, skills, qualifications, experience, position requirements, and annual financial plans.
  • Fully remote work with a monthly office stipend.
  • Comprehensive benefits supporting physical, emotional, and overall well-being, subject to eligibility requirements.

Skills

DatabricksSparkboomiriverydbtAzureDelta LakeSQL Serveretl/eltdataopsCI/CDmedallion architecturechange data capturePython
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