Docker, Inc

Principal Data Engineer

Docker, Inc

full-time

Posted on:

Origin:  • 🇨🇦 Canada

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Salary

💰 $208,000 - $286,000 per year

Job Level

Lead

Tech Stack

AirflowApacheAWSAzureBigQueryCloudDistributed SystemsDockerERPETLGoGoogle Cloud PlatformJavaKafkaPythonRustScalaSQLTerraform

About the role

  • Define and drive the long-term technical strategy for Docker's data platform, addressing current fragmentation across disparate data sources
  • Architect scalable, reliable data infrastructure supporting Docker's growing customer base and container ecosystem
  • Lead cross-functional technical discussions to align on data architecture decisions
  • Establish technical standards and best practices across data engineering, analytics engineering, and data science teams
  • Design and implement data governance frameworks that ensure quality, security, and compliance (SOC-2, privacy regulations)
  • Own the design of mission-critical data pipelines supporting customer usage measurement, billing systems, and revenue operations
  • Build robust ETL/ELT frameworks capable of processing Docker's container telemetry, user analytics, and business metrics at scale
  • Architect Customer 360 data models that unify user behavior, account information, and product usage across Docker's platform
  • Design monitoring, alerting, and observability systems for data infrastructure health and reliability
  • Lead integration efforts with third-party tools (CRM, ERP, analytics platforms) and internal Docker services
  • Partner with business stakeholders to translate complex business requirements into scalable technical solutions
  • Drive data-driven decision making by establishing clear metrics, dashboards, and KPIs aligned with business objectives
  • Lead strategic initiatives that unlock new revenue streams through improved data capabilities and insights
  • Establish processes that reduce time-to-insights from months to weeks for critical business questions
  • Create data architecture that enables Docker's expansion into new markets and customer segments
  • Provide technical mentorship to senior data engineers, analytics engineers, and data scientists
  • Lead architectural reviews, code reviews, and technical decision-making processes
  • Drive hiring and technical interview processes for senior data team members
  • Foster a culture of operational excellence, data quality, and technical innovation
  • Collaborate with Engineering Leadership on team roadmaps, prioritization, and resource allocation
  • Partner with Product, Sales, Marketing, and Customer Success teams to understand and address their data needs
  • Work closely with Security and Compliance teams to ensure data handling meets enterprise requirements
  • Collaborate with Platform engineering teams on shared infrastructure and tooling
  • Engage with Finance and Legal teams on data governance, retention, and privacy requirements

Requirements

  • 8+ years of hands-on experience in data engineering, analytics engineering, or related technical roles
  • 3+ years in senior technical leadership positions (Staff Engineer, Principal Engineer, or equivalent)
  • Experience designing and scaling data systems for companies with 100M+ users or equivalent scale
  • Experience guiding technical teams and facilitating cross-functional engineering initiatives
  • Expert-level proficiency in modern data stack technologies (dbt, Snowflake/BigQuery/Databricks, Apache Airflow/Prefect)
  • Strong programming skills in Python, SQL, and at least one additional language (Scala, Java, Go, or Rust)
  • Deep understanding of distributed systems, data modeling, and database optimization techniques
  • Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform, CloudFormation)
  • Knowledge of streaming data technologies (Kafka, Kinesis, Pub/Sub) and real-time analytics
  • Demonstrated ability to influence technical decisions across multiple engineering teams
  • Strong written and verbal communication skills, with ability to explain complex technical concepts to non-technical stakeholders
  • Experience mentoring and developing senior engineering talent
  • Track record of successfully delivering large-scale, multi-quarter technical initiatives
  • Understanding of SaaS business models, customer analytics, and revenue operations
  • Experience with product analytics, user behavior analysis, and A/B testing frameworks
  • Knowledge of data privacy regulations (GDPR, CCPA) and enterprise compliance requirements
  • Due to the remote nature of this role, we are unable to provide visa sponsorship.