Principal Data Engineer (Pacific Time Zone Preferred) at Docker

Canada

Apply Now

$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

Data Engineering

Data Architecture

Scalable Infrastructure

Data Governance

Analytics Platforms

Data Platforms

SOC-2 Compliance

Privacy Regulations

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