Tax Innovation & Delivery Experience - Data Engineering - Senior Manager

Posted Yesterday
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7 Locations
Hybrid
124K-335K Annually
Senior level
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The Role
Lead design and delivery of data infrastructure, pipelines, and scalable architectures (Snowflake, Azure Data Factory). Oversee data quality, security, and deployment, collaborate cross-functionally, and coach teams to solve complex data challenges and validate client outcomes.
Summary Generated by Built In
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
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
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Learn more about how we work: https://pwc.to/how-we-work
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

Skills Required

  • Bachelor's degree
  • At least 6 years of experience
  • Design and develop data infrastructure and systems
  • Develop and implement data pipelines, integration, and transformation solutions
  • Build and maintain scalable data architectures using Azure Data Factory and Snowflake
  • Oversee deployment of data engineering solutions and ensure data quality and security
  • Coach and mentor team members and lead through complexity
  • Experience utilizing Amazon Web Services (AWS) and Microsoft Azure for data solutions
  • Advanced skills in data engineering platforms and tools
  • Proficiency in data architecture development and optimization

What the Team is Saying

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PwC Compensation & Benefits Highlights

  • Leave & Time Off Breadth Two firmwide week‑long shutdowns each year in the US and a broad menu of paid and unpaid leaves add structured downtime beyond standard vacation. Flexible work options provide additional avenues to step away when client needs permit.
  • Parental & Family Support Paid parental leave is 12 weeks for all parents, with a four‑week phased return at 60% time on full base pay. Family‑forming and caregiving supports span infertility coverage, cryopreservation, adoption/surrogacy reimbursements, and nursing‑parent resources.
  • Wellbeing & Lifestyle Benefits Mental‑health and wellness resources include EAP, coaching, Headspace/Calm, Talkspace, and fitness programs. These offerings underscore a sustained emphasis on well‑being alongside core health coverage.

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The Company
HQ: New York, NY
370,000 Employees
Year Founded: 1998

What We Do

Build what’s next — with tech that matters PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes. As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions. You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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