Principal Data Engineer (Pacific Time Zone Preferred) at Docker

Canada

Docker Logo
$208,000 – $286,000Compensation
Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Software, DevOpsIndustries

Requirements

  • Pacific Time Zone preferred
  • Expertise in technical leadership and architecture for data platforms
  • Experience defining long-term technical strategy for fragmented data sources
  • Proven ability to architect scalable, reliable data infrastructure at massive scale (e.g., millions of developers and containers)
  • Strong skills in designing and implementing data governance frameworks (quality, security, compliance including SOC-2 and privacy regulations)
  • Ownership experience with mission-critical data pipelines (e.g., customer usage, billing, revenue operations)
  • Proficiency in building robust ETL/ELT frameworks for high-volume data (telemetry, analytics, metrics)
  • Expertise in designing Customer 360 data models unifying user behavior, accounts, and product usage
  • Experience architecting monitoring, alerting, and observability for data infrastructure
  • Skills in integrating with third-party tools (CRM, ERP, analytics) and internal services
  • Ability to translate business requirements into scalable technical solutions
  • Experience establishing metrics, dashboards, KPIs for data-driven decisions
  • Technical mentorship for senior engineers, analytics engineers, data scientists
  • Leadership in architectural reviews, code reviews, technical decisions, hiring, interviews
  • Cross-functional collaboration with Product, Sales, Marketing, Customer Success, Security, Compliance, Platform Engineering, Finance, Legal

Responsibilities

  • Define and drive long-term technical strategy for Docker's data platform
  • Architect scalable, reliable data infrastructure for growing customer base and container ecosystem
  • Lead cross-functional technical discussions on data architecture decisions
  • Establish technical standards and best practices for data engineering, analytics engineering, data science teams
  • Design and implement data governance frameworks ensuring quality, security, compliance
  • Own design of mission-critical data pipelines for customer usage, billing, revenue operations
  • Build robust ETL/ELT frameworks processing container telemetry, user analytics, business metrics at scale
  • Architect Customer 360 data models unifying user behavior, account info, product usage
  • Design monitoring, alerting, observability systems for data infrastructure
  • Lead integrations with third-party tools and internal Docker services
  • Partner with business stakeholders to translate requirements into technical solutions
  • Drive data-driven decision making with metrics, dashboards, KPIs
  • Lead initiatives unlocking new revenue streams via data capabilities
  • Establish processes reducing time-to-insights for business questions
  • Create data architecture enabling expansion into new markets/segments
  • Provide technical mentorship to senior data engineers, analytics engineers, data scientists
  • Lead architectural reviews, code reviews, technical decision-making
  • Drive hiring and technical interviews for senior data team
  • Foster culture of operational excellence, data quality, technical innovation
  • Collaborate with Engineering Leadership on roadmaps, prioritization, resources
  • Partner with Product, Sales, Marketing, Customer Success on data needs
  • Work with Security/Compliance on data handling requirements
  • Collaborate with Platform engineering on infrastructure/tooling
  • Engage with Finance/Legal on governance, retention, privacy

Skills

Key technologies and capabilities for this role

Data EngineeringData ArchitectureScalable InfrastructureData GovernanceAnalytics PlatformsData PlatformsSOC-2 CompliancePrivacy Regulations

Questions & Answers

Common questions about this position

What is the salary range for the Principal Data Engineer position?

The salary range is $208K - $286K.

Is this a remote position, and are there any location preferences?

Docker is a remote-first company with a team spanning the globe. Pacific Time Zone is preferred.

What key skills and experiences are required for this role?

The role requires expertise in technical leadership, architecting scalable data infrastructure and pipelines, designing ETL/ELT frameworks, data governance, and integrating with third-party tools.

What is the company culture like at Docker?

Docker has a remote-first team united by passion for innovation and great developer experiences, supporting millions of developers with a fast-growing environment.

What makes a strong candidate for this Principal Data Engineer role?

Strong candidates will have experience leading technical vision for data platforms, solving complex data challenges at scale, architecting mission-critical systems, and driving strategic data initiatives while mentoring engineers.

Docker

Containerization platform for application development

About Docker

Docker offers a containerization platform that enables developers to build, share, and run applications in isolated environments called containers. These containers package applications with their dependencies, ensuring consistent performance across different stages of development and deployment. Docker stands out from competitors by simplifying the development process and enhancing collaboration, with a freemium business model that includes various subscription tiers and services like Docker Hub and Docker Desktop. The company's goal is to streamline software development and deployment, making it easier for developers to manage applications efficiently.

Palo Alto, CaliforniaHeadquarters
2013Year Founded
$484.3MTotal Funding
SERIES_CCompany Stage
Consumer Software, Enterprise SoftwareIndustries
501-1,000Employees

Benefits

Flexible Work Hours
Home Office Stipend
Parental Leave
Phone/Internet Stipend
Unlimited Paid Time Off
Professional Development Budget
Company Equity
Health Insurance

Risks

Competition from Kubernetes could impact Docker's market share.
Alternative container runtimes like Podman pose a threat to Docker's dominance.
Security vulnerabilities in Docker containers could undermine platform trust.

Differentiation

Docker offers a comprehensive platform for building, sharing, and running applications.
Docker's containerization ensures consistency across development and deployment stages.
Docker's freemium model provides flexibility with various subscription tiers.

Upsides

Increased adoption of Kubernetes drives demand for Docker's containerization solutions.
Docker's acquisitions enhance its performance, flexibility, and security features.
Growing hybrid and multi-cloud environments position Docker as a key player.

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