Senior Data Engineer - Senior Manager

An onsite opportunity within PwC's Technology Consulting practice in Miami, this Senior Data Engineer - Senior Manager will lead data engineering initiatives, using data and analytics to deliver strategic client insights while guiding teams to tackle complex problems. The role offers a salary range of USD 124,000 to 280,000 per year and requires a bachelor’s degree along with at least six years of experience.

Responsibilities

• Develop innovative solutions to improve business performance and create competitive differentiation, including roadmaps to guide initiatives
• Apply advanced analytics techniques to support client operations and strategic goals, incorporating AWS data engineering and Redshift
• Design, build, and maintain data pipelines and architectures to power business intelligence efforts using DataStage and ETL processes
• Implement data visualization capabilities to deliver actionable insights for client outcomes, leveraging SQL Server and DB2
• Collaborate with stakeholders to identify data challenges and opportunities, aligning work with managed services and service level agreements
• Coach and motivate teams to solve complex problems and deliver high-quality results
• Apply systems thinking to uncover underlying issues and opportunities within client projects, including workload orchestration and scheduling
• Validate outcomes with clients and incorporate feedback to refine solutions, with focus on CSAT and performance tuning
• Guide teams through ambiguous and challenging situations with composure and sound judgment

Requirements

• Bachelor’s degree or higher
• Minimum of 6 years of relevant experience

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 study in fields such as Computer and Information Science, Economics, Engineering, Operations Management/Research, Statistics, and related combinations with Accounting or Finance
• Demonstrated expertise in data architecture development and data pipeline management
• Proficiency in Python and Java for complex data analysis and visualization
• Strong experience with business intelligence tools like QlikView and Oracle BI
• Ability to lead strategic questioning and engage stakeholders effectively
• Applied systems thinking to identify root causes and opportunities in data projects
• Proven track record of directing teams through complex and ambiguous situations