Senior Manager, Data Engineering

November 18

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Docker, Inc

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At Docker, we simplify the lives of developers who are making world-changing apps. Docker helps developers bring their ideas to reality by conquering the complexity of app development. We simplify and accelerate workflows with an integrated development pipeline and application components. Actively used by millions of developers around the world, Docker Desktop and Docker Hub provide unmatched simplicity, agility and choice.

51 - 200 employees

💰 $105M Series C on 2022-03

📋 Description

• 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 • 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

🎯 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)

🏖️ Benefits

• Freedom & flexibility; fit your work around your life • Designated quarterly Whaleness Days • 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 • Quarterly, company-wide hackathons • 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