Amazon.com Services LLC
Data Science, Data Engineering, global corporate
SeniorManager,DataEngineer,PXTCentralScience(PXTCS)
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“Senior Manager, Data Engineer, PXT Central Science (PXTCS) at Amazon.com Services LLC. Skills: Data engineering, Team leadership, Data infrastructure. Own data engineering vision. Own data engineering strategy”
Industry & Context.
Root cause analysis; Quantitative analysis; Business judgment
What They're Looking For.
Must Have
6+ years data engineering experience, 6+ years database engineering experience, 6+ years business intelligence experience, 6+ years business analytics experience, Experience hiring technical teams, Experience developing new metrics, Experience presenting new metrics
Nice to Have
Master's degree or equivalent, PhD, Experience with science teams, Experience with data processing teams, Experience with software engineering teams, Experience with AWS services, Experience with business stakeholders, Experience with data warehousing, Experience with data quality
What You'll Do.
Own data engineering vision
Own data engineering strategy
Own data engineering execution
Drive architectural design choices
Lead design of data pipelines
Lead development of data pipelines
Lead design of data models
Lead development of data models
Lead data warehouse strategy
Ensure high standards of quality
Ensure high standards of maintainability
Ensure high standards of performance
Ensure high standards of availability
Build technical teams
Mentor technical teams
Develop technical teams
Foster culture of ownership
Foster culture of innovation
Foster culture of continuous learning
Partner with scientists
Partner with applied scientists
Partner with economists
Partner with PXT business leaders
Understand data needs
Accelerate decision-making
Propose business metrics
Implement business metrics
Surface recommendations
Triage competing priorities
Expose data pipelines
Enable self-service analytics
Develop self-reporting tools
How You'll Work.
Team & Collaboration
Partner with scientists; Partner with business leaders; Work across PXTCS; Work with PXT partner teams
Communication Scope
Presenting recommendations
Full Job Description
PXT Central Science (PXTCS) is seeking a driven, results-oriented Senior Manager of Data Engineering to lead and grow a high-performing team. We are looking for a leader who thrives in a fast-paced, high-ambiguity environment, relishes working at scale, puts big data to work, and above all else, is passionate about building teams and developing talent. PXTCS applies science to improve the employee and candidate experience across Amazon's People, Experience, and Technology (PXT) organization. In this role, you will own the data engineering vision, strategy, and execution that powers insights and products enabling Amazon to Hire and Develop the Best. Key job responsibilities - Own the data engineering product vision and roadmap for your organization, aligning to PXTCS strategic goals - Drive architectural design choices for scalable, reliable, and performant data infrastructure and services - Lead the design and development of data pipelines, data models, and data warehouse strategy that aggregate data from multiple sources and expose actionable insights - Ensure the highest standards of quality, maintainability, performance, and availability across all data systems - Build, lead, mentor, and develop a team. - Recruit and retain top talent; foster a culture of ownership, innovation, and continuous learning - Partner closely with scientists, applied scientists, economists, and PXT business leaders to understand data needs and deliver solutions that accelerate decision-making - Propose and implement business metrics for senior leadership reviews - Perform deep-dives to identify root causes behind variances in key parameters and surface compelling, data-driven recommendations - Triage competing priorities in a high-ambiguity environment using both quantitative analysis and business judgment - Work across PXTCS and PXT partner teams to expose data pipelines and enable self-service analytics - Develop intelligent, insightful self-reporting tools that empower stakeholders w
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