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Docker, Inc logo
Docker, Inc

Docker helps developers bring their ideas to life by conquering the complexity of app development.

Senior Manager, Data Engineering

Data EngineerData EngineerOtherRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

84 days ago

Salary

$226.6K - $318.5K / year

Seniority

Senior

Job Description

Senior Manager, Data Engineering

Docker, Inc

• Build, lead, and scale a high-performing data engineering team of 8-12 engineers across data infrastructure, analytics, and business intelligence • Establish hiring standards and recruit top-tier data engineering talent in a competitive market • Foster a culture of technical excellence, innovation, and customer obsession within the data organization • Mentor senior engineers and develop next-generation technical leadership within the data discipline • Partner with HR and Engineering leadership on career development, performance management, and team growth • Ensure team participation in the on-call rotation and step in as needed. Respond to incidents, troubleshoot production issues, and drive continuous improvement in system reliability. • Define and execute the long-term technical strategy for Docker's data platform, ensuring alignment with business objectives and product roadmap • Architect and oversee development of scalable, reliable data infrastructure leveraging Snowflake as the core data warehouse and AWS cloud services • Drive implementation of modern data orchestration using Airflow for workflow management and DBT for data transformation and modeling • Lead technical decisions around data platform technologies, vendor selection, and build vs. buy strategies • Establish data governance, security, and compliance frameworks to support enterprise customer requirements • Oversee modernization of legacy data systems and migration to cloud-native data platforms • Partner with Product Management teams to enable data-driven product development and feature validation • Collaborate with Sales and Customer Success teams to deliver customer-facing analytics and reporting capabilities • Support Marketing and Growth teams with user behavior analytics, funnel optimization, and campaign effectiveness measurement • Work with Finance team to enable accurate business reporting, forecasting, and operational metrics • Engage directly with enterprise customers to understand analytics requirements and deliver custom data solutions • Establish self-service analytics capabilities using Sigma and other BI tools enabling teams across Docker to access and analyze data independently • Build comprehensive dashboards and reporting systems for product metrics, business KPIs, and operational insights • Implement advanced analytics capabilities including machine learning, predictive modeling, and anomaly detection • Drive adoption of data visualization tools and establish best practices for analytics across the organization • Lead data literacy initiatives and training programs to increase analytical capabilities company-wide • Own the operational excellence of Docker's data platform including Snowflake performance optimization, Airflow pipeline reliability, and AWS cost management • Establish comprehensive monitoring, alerting, and incident response procedures for data systems across the modern data stack • Implement robust data quality frameworks and automated testing for DBT models, data pipelines, and analytics • Drive cost optimization initiatives for Snowflake compute, AWS infrastructure, and analytics tools • Ensure compliance with data privacy regulations (GDPR, CCPA) and enterprise security requirements

Job Requirements

  • 8+ years of data engineering experience with 4+ years in technical leadership roles managing teams of 5+ engineers
  • Proven track record building and scaling data engineering organizations at high-growth technology companies
  • Strong people management skills including hiring, performance management, and career development
  • Experience leading cross-functional initiatives involving Product, Engineering, and Business stakeholders
  • Excellent communication skills with ability to influence executives and technical teams
  • Deep hands-on experience with Snowflake including data warehousing, performance optimization, and cost management
  • Proficiency with Apache Airflow for orchestrating complex data workflows and pipeline management
  • Strong expertise in DBT (Data Build Tool) for data transformation, modeling, and testing
  • Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda) and infrastructure management
  • Experience with Sigma or similar modern BI platforms for self-service analytics and data visualization
  • Strong background in data pipeline development, ETL/ELT processes, and streaming data architectures
  • Proficiency with programming languages commonly used in data engineering (Python, SQL, Scala)
  • Knowledge of infrastructure-as-code practices and modern DevOps tools
  • Understanding of SaaS business models, product analytics, and customer lifecycle metrics
  • Experience with customer-facing analytics and embedded reporting capabilities
  • Knowledge of data privacy regulations, security frameworks, and enterprise compliance requirements
  • Familiarity with developer tools and infrastructure software business models
  • Experience supporting product launches with data infrastructure and analytics capabilities

Benefits

  • Freedom & flexibility; fit your work around your life
  • Designated quarterly Whaleness Days plus end of year Whaleness break
  • Home office setup; we want you comfortable while you work
  • 16 weeks of paid Parental leave
  • Technology stipend equivalent to $100 net/month
  • PTO plan that encourages you to take time to do the things you enjoy
  • Training stipend for conferences, courses and classes
  • Equity; we are a growing start-up and want all employees to have a share in the success of the company
  • Docker Swag
  • Medical benefits, retirement and holidays vary by country
  • Remote-first culture, with offices in Seattle and Paris

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