Senior Data Engineer - Senior Manager

PricewaterhouseCoopers (PwC) invites a Senior Data Engineer – Senior Manager to lead data engineering initiatives within Technology Consulting in a Miami, FL onsite role. The position leverages data and analytics to deliver strategic client insights and guides teams through complex problem solving. Requirements include a Bachelor's degree and a minimum of six years of experience, with a salary range of USD 124,000 to 280,000 per year.

Responsibilities

• Develop innovative solutions to optimize business performance and strengthen competitive advantage, including roadmap development.
• Apply advanced analytics to support client operations and strategic goals, leveraging AWS data engineering and Redshift.
• Build and maintain data pipelines and architectures to enable business intelligence, utilizing DataStage and ETL processes.
• Implement data visualization capabilities to deliver actionable insights and improve client outcomes with SQL Server and DB2.
• Collaborate with stakeholders to identify data challenges and opportunities, including managed services and service level agreements.
• Coach and motivate teams to tackle complex problems and deliver high-quality results.
• Apply systems thinking to uncover root issues and opportunities within client projects, including workload orchestration and scheduling.
• Validate outcomes with clients and incorporate feedback to refine solutions, focusing on CSAT and performance tuning.
• Lead teams through ambiguous and challenging situations with composure and sound judgment.

Requirements

• Bachelor's degree required.
• Minimum of six years of experience.
• Location: onsite in Miami, Florida.

Technologies

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

Benefits

• Medical
• Dental
• Vision
• 401k
• Holiday pay
• Vacation
• Personal and family sick leave

What Sets You Apart

• Preference for at least one of the following fields of study: 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 data pipeline management.
• Experience using Python and Java for complex data analysis and visualization.
• Proficiency with business intelligence tools such as QlikView and Oracle BI.
• Experience leading strategic questioning and stakeholder engagement initiatives.
• Ability to apply systems thinking to identify underlying problems.
• Capacity to direct teams through complex and ambiguous situations.