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Job Description

PwC seeks a Senior Data Engineer - Senior Manager to lead data analytics initiatives within Technology Consulting in Phoenix, AZ onsite.

Compensation

Salary: USD 124,000 - 280,000 per year

Responsibilities

  • Create and deploy data‑driven solutions that boost business performance and strengthen competitive advantage, including roadmap planning
  • Apply advanced analytics to support client operations and strategic objectives, covering AWS data engineering and Redshift workloads
  • Build and maintain data pipelines and architectures to enable business intelligence efforts, using DataStage and ETL processes
  • Implement data visualization capabilities to deliver actionable insights, leveraging SQL Server and DB2
  • Partner with stakeholders to identify data challenges and opportunities within managed services and SLA contexts
  • Coach and mentor teams to tackle complex problems and deliver high‑quality results
  • Use systems thinking to uncover root causes and improvement opportunities within client projects, including workload orchestration and scheduling
  • Validate outcomes with clients and incorporate feedback to optimize solutions, focusing on CSAT and performance tuning
  • Lead teams through uncertain and challenging situations with calm judgment and clear direction

Requirements

  • Bachelor's degree required
  • Minimum 6 years of experience

Technologies

  • AWS
  • Redshift
  • DataStage
  • ETL
  • SQL Server
  • DB2
  • Python
  • Java
  • QlikView
  • Oracle BI

Benefits

  • Medical, dental, and vision coverage
  • 401(k) retirement plan
  • Holiday pay
  • Vacation time
  • Personal and family sick leave

The Opportunity

In this role, you will leverage data and analytics to deliver strategic insights and support data‑driven decision making for clients. Within the Technology Consulting practice, you will design and deploy innovative solutions to optimize business performance and strengthen competitive advantage. As a Senior Manager, you will apply your skills and professional network to deliver quality results, coaching teams to solve complex problems.

What Sets You Apart

  • Preference for one of these degree fields: Computer and Information Science; Computer and Information Science & Accounting; Economics; Economics and Finance; Economics and Finance & Technology; Operations Management/Research; Statistics; Engineering
  • Demonstrated expertise in data architecture development and end-to-end data pipeline management
  • Proficiency with Python and Java for complex data analysis and visualization
  • Strong experience with business intelligence tools such as QlikView and Oracle BI
  • Ability to lead strategic questioning and engage stakeholders effectively
  • Applied systems thinking to identify underlying problems and opportunities
  • Proven track record of directing teams through complex and ambiguous situations

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