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Job Description

Senior level data engineering leadership within PwC's Managed Services, overseeing projects, mentoring teams, managing client accounts, and delivering analytics-driven solutions to optimize business performance.

Responsibilities

  • Lead data engineering initiatives to generate strategic insights and enhance business performance through ETL/ELT data integration
  • Design and deploy data solutions that leverage advanced analytics techniques, including DataStage
  • Manage and mentor teams to elevate capabilities and ensure high-quality client deliverables, covering pipeline architecture
  • Use business intelligence tools and cloud analytics platforms to support data‑driven decisions, including AWS and Redshift
  • Build and maintain data pipelines and architectures to back analytics initiatives with DB2 and SQL Server
  • Collaborate with stakeholders to identify opportunities for data utilization and process improvements, leveraging GoldenGate and CDC
  • Oversee the deployment of scalable data visualization and reporting solutions, with performance tuning
  • Encourage adoption of new technologies and methodologies across data and analytics teams, including S3 and Glue
  • Address and resolve client and team issues, escalating when necessary
  • Maintain professional and technical standards, aligning with PwC's code of conduct and independence requirements

Requirements

  • Bachelor's degree required
  • Minimum 4 years of relevant experience

Technologies

  • DataStage
  • AWS
  • Redshift
  • DB2
  • SQL Server
  • GoldenGate
  • CDC
  • S3
  • Glue
  • BIRT
  • Python
  • Java
  • QlikView
  • Spotfire

Benefits

  • Medical insurance
  • Dental coverage
  • Vision plan
  • 401(k) retirement plan
  • Paid holidays
  • Paid vacation
  • Paid personal and family sick leave

What Sets You Apart

  • Preferred degrees include Computer and Information Science; Computer Science and Accounting; Economics; Economics and Finance; Economics and Finance and Technology; Operations Management/Research; Statistics; Engineering
  • Proficiency in Business Intelligence and Reporting Tools, particularly BIRT
  • Experience using Python and Java for data engineering tasks
  • Strong data visualization skills with QlikView and Spotfire
  • Experience shaping data architecture and pipeline strategies
  • Commitment to continuous process improvement in data analytics
  • Proven ability to lead teams in data driven decision making

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