Data Center Technical Infrastructure Program Manager, Critical Project Implementation Team

Amazon Data Services, Inc. operates critical projects and infrastructure across Amazon’s operational data centers. The Data Center Technical Infrastructure Program Manager will support analytics for construction and project-controls data by building BI solutions, ETL/ELT pipelines, dashboards, and reports while partnering with customers and leadership. The role also oversees production operations, data governance, security, process improvement, and shared ownership of critical reporting capabilities.

Responsibilities

• Design, develop, and maintain BI solutions that turn complex construction and project-controls data into actionable insights for senior leadership, CPT program teams, and Regional Managers
• Partner directly with customers to gather requirements, challenge assumptions, and translate business needs into scalable data models, dashboards, and reports. Bring genuine curiosity to every engagement to uncover what customers need, not just what they ask for
• Drive process-improvement initiatives by identifying gaps in existing workflows and advocating for best data practices, working collaboratively with customers to refine and evolve processes until the solution truly delivers
• Build and maintain ETL/ELT pipelines within the AWS ecosystem for extraction, transformation, and loading of data across a variety of sources
• Oversee production operations including data-delivery optimization, infrastructure scalability, code deployments, and release management
• Apply and uphold data-governance and security standards, ensuring appropriate access controls and secure handling of sensitive operational data
• Work as a peer to CPI’s existing analytics engineer — sharing ownership of critical pipelines and dashboards, reviewing each other’s work, and building redundancy so no reporting capability depends on a single person
• Establish and evangelize best practices for data integration, documentation, and solution design across engineering and business teams

Preferred

• Experience directly related to the design or construction of data centers or critical infrastructure or large-scale mechanical and electrical plants
• track record of going beyond the ask — identifying process gaps or data opportunities that were not part of the original scope and driving them to resolution
• Experience building and operating highly available data pipelines using AWS technologies including Redshift, S3, Glue, Lambda, DynamoDB, and IAM
• Experience in a customer-facing role where requirements were ambiguous or incomplete, with a track record of driving clarity through structured discovery and constructive challenge
• Experience with large-scale, complex datasets in a business environment, including data mining and warehouse design
• Familiarity with data governance, access controls, and secure handling of sensitive operational data
• Data center design
• Critical infrastructure construction
• electrical plants
• AWS technologies
• Redshift
• S3
• Lambda
• DynamoDB
• IAM
• Data pipelines
• Data mining
• Warehouse design
• Data governance
• Access controls
• Sensitive data handling
• Problem-solving
• Proactive
• Driving clarity
• Structured discovery
• Constructive challenge

Benefits

• Sign-on payments
• Restricted stock units (RSUs)
• Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• Paid time off
• Parental leave

Company

• Online retail and cloud computing services
• Seattle, Washington, USA
• https://amazon.com/
• Founded in 1994
• 10001+ employees

Qualifications

• 3+ years of technical infrastructure management experience
• 3+ years of using SQL to extract and manipulate data experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience in ETL management/data pipeline
• Experience working on and delivering end to end projects independently
• Experience directly related to the design or construction of data centers or critical infrastructure or large-scale mechanical and electrical plants
• Track record of going beyond the ask — identifying process gaps or data opportunities that were not part of the original scope and driving them to resolution
• Experience building and operating highly available data pipelines using AWS technologies including Redshift, S3, Glue, Lambda, DynamoDB, and IAM
• Experience in a customer-facing role where requirements were ambiguous or incomplete, with a track record of driving clarity through structured discovery and constructive challenge
• Experience with large-scale, complex datasets in a business environment, including data mining and warehouse design
• Familiarity with data governance, access controls, and secure handling of sensitive operational data

Required skills

• AWS, AWS Glue, AWS IAM, AWS Lambda, Amazon DynamoDB, Amazon QuickSight, Amazon Redshift, Amazon S3, Data Governance, Data Visualization, Data Warehousing, ETL/Data Pipeline Management, SQL, Tableau

Experience

• 3+ years