Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is a leader in secure, reliable, scalable, and innovative cloud services. AWS is seeking a Data Engineering Manager to lead its 3PX Analytics & Insights data engineering function, overseeing data infrastructure, pipelines, platforms, and analytics capabilities. The role manages senior data engineers and partners with cross-functional teams to deliver scalable data solutions, AI-powered insights, governance, and operational excellence.
Responsibilities
- Lead and develop a team of senior data engineers, hiring, mentoring, setting technical direction, managing performance and growth opportunities
- Own the data platform strategy and roadmap for the team’s portfolio, including multiple Redshift clusters, ETL/ELT pipelines, and data models that serve analytics, data science, and business stakeholders
- Manage and optimize Redshift infrastructure, ensuring performance, cost efficiency, availability, and scalability across multiple clusters serving diverse business lines
- Own data pipelines for AI-powered tools, ensuring reliable, high-quality data flows that power the team’s GenAI and ML applications including content analysis, audience segmentation, and experimentation automation
- Drive data engineering for business-critical applications, including dashboards and other internal self developed software products
- Establish and enforce data governance, quality, and reliability standards, implementing monitoring, alerting, SLAs, and data quality frameworks across the team’s data assets
- Partner cross-functionally with product managers, BI engineers, and software engineers to translate business requirements into scalable data architecture and pipeline solutions
- Represent data engineering in planning and leadership forums, contributing to annual planning, QBRs, and roadmap reviews. Communicate trade-offs, capacity constraints, and investment needs clearly to senior leadership
- Drive operational excellence, owning on-call processes, incident response, COE follow-ups, and continuous improvement of the team’s operational posture
Skills
- 5+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 5+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 2+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience hiring, developing and promoting engineering talent
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance, including medical, dental, vision, prescription, Basic Life & AD&D insurance, and an option for Supplemental life plans
- Employee Assistance Program (EAP)
- Mental Health Support
- Medical Advice Line
- Flexible Spending Accounts
- Adoption and Surrogacy Reimbursement coverage
- 401(k) matching
- Paid time off
- Parental leave
Company Overview
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