PWC

Tax Innovation & Delivery Experience - Data Engineering - Senior Manager

PWC$124K — $335K *
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree required.
  • 6+ years of relevant experience in data engineering or related field.
  • Advanced skills in data engineering platforms and tools.
  • Experience with AWS and Microsoft Azure for data solutions.
  • Strong background in data architecture development and optimization.

Responsibilities

  • Lead design and development of data infrastructure for data processing and analysis.
  • Develop and implement data pipelines, integration, and transformation solutions.
  • Utilize advanced technologies to convert raw data into actionable insights.
  • Build and maintain scalable data architectures using Azure Data Factory and Snowflake.
  • Oversee deployment of data engineering solutions ensuring data quality and security.
  • Collaborate with cross-functional teams to tackle complex data challenges.
  • Coach and mentor team members to enhance their skills and performance.

Benefits

  • Medical, dental, and vision coverage.
  • 401k retirement plan.
  • Paid holidays and vacation.
  • Personal and family sick leave.
  • Eligibility for an annual discretionary bonus.
Full Job Description
Industry/Sector
Not Applicable

Specialism
Data Engineering

Management Level
Senior Manager

Job Description & Summary

The Opportunity

As a Tax Innovation & Delivery Experience - Data Engineering - Senior Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Tax practice, you will focus on designing and building data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

As a Senior Manager, you will leverage your skills and professional networks to deliver quality results. You will motivate and coach teams to solve complex problems, applying sound judgment to recognize when to take action and when to escalate. Your ability to develop and sustain high-performing, diverse, and inclusive teams, along with your commitment to excellence, contributes to the success of our firm.

In this role at PwC, you will craft and convey clear, impactful messages that tell a holistic story. You will apply systems thinking to identify underlying problems and opportunities, validate outcomes with clients, and act on feedback. Directing teams through complexity, you will demonstrate composure in ambiguous situations, deepen your expertise, and initiate open coaching conversations at all levels.

Responsibilities

- Leading the design and development of data infrastructure and systems to facilitate efficient data processing and analysis
- Developing and implementing data pipelines, integration, and transformation solutions to support client needs
- Utilizing advanced technologies and techniques to transform raw data into actionable insights for informed decision-making
- Building and maintaining scalable data architectures using platforms such as Azure Data Factory and Snowflake
- Overseeing the deployment of data engineering solutions, confirming data quality and security
- Collaborating with cross-functional teams to address complex data challenges and drive business growth
- Applying systems thinking to identify underlying problems and opportunities within data processes
- Coaching and mentoring team members to enhance their skills and contribute to high-performing teams
- Validating outcomes with clients and incorporating feedback to refine data solutions
- Directing teams through complex and ambiguous situations, maintaining composure and focus on objectives

What You Must Have

- At least a Bachelor's degree
- At least 6 years of experience

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Leveraging advanced skills in data engineering platforms and tools
- Utilizing Amazon Web Services (AWS) and Microsoft Azure for data solutions
- Applying systems thinking to identify and solve complex data challenges
- Demonstrating proficiency in data architecture development and optimization
- Excelling in coaching and feedback to develop high-performing teams
- Innovating data strategies to drive operational excellence

Travel Requirements
Up to 20%

Job Posting End Date

The salary range for this position is: $124,000 - $335,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

About PWC

PwC is a multinational professional services network of firms headquartered in London, United Kingdom, operating as partnerships under the PwC brand. PwC ranks as the second-largest professional services network in the world and is considered one of the Big Four accounting firms, along with Deloitte, EY and KPMG. PwC firms operate in 157 countries, 742 locations, with 276,000 people. As of 2020, 26% of the workforce worked in the Americas, 26% in Asia, 32% in Western Europe, 5% in Middle East and Africa and 11% in Central and Eastern Europe and Central Asia.
Learn more about PWC
Size
284,000 employees
Industry
Founded
1998

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