Tax Innovation & Delivery Experience - Data Engineering - Director

Posted 3 Hours Ago
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10 Locations
Hybrid
150K-438K Annually
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
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The Role
Lead design and delivery of scalable data infrastructure and pipelines for Tax practice. Drive client engagements, business development, and mentor teams using cloud and modern data engineering tools to convert raw data into actionable insights while ensuring quality, security, and compliance.
Summary Generated by Built In
The Opportunity
As a Tax Innovation & Delivery Experience - Data Engineering - Director, you will lead the design and development of advanced data solutions, transforming raw data into actionable insights that drive business growth. Within our Tax practice, you will play a pivotal role in shaping client engagements and mentoring future leaders. Your strategic leadership will be instrumental in fostering environments where people and technology thrive together, while upholding our reputation for quality and integrity.
As a Director, you will set the strategic direction and lead business development efforts, making impactful decisions and overseeing multiple projects. You are expected to be a guardian of our reputation, understanding that quality, integrity, inclusion, and a commercial mindset are foundational to our success. You will cultivate potential in others and actively collaborate across the PwC Network, leveraging our collective strength to maximize client satisfaction.
In this role, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions, driving continuous adaptation to emerging technologies and fostering a culture of continuous improvement and innovation.
Responsibilities
- Leading the design and development of data infrastructure and systems to facilitate efficient data processing and analysis
- Overseeing the implementation of data pipelines, integration, and transformation solutions to support client needs
- Utilizing advanced technologies such as Apache Hadoop, Apache Airflow, and Azure Data Factory to enhance data engineering processes
- Driving business growth by transforming raw data into actionable insights for informed decision-making
- Mentoring and guiding teams in developing innovative data solutions and fostering a culture of continuous improvement
- Collaborating with executive-level clients to understand their data requirements and deliver tailored solutions
- Promoting the use of cloud platforms like Amazon Web Services (AWS) and Microsoft Azure Databricks for scalable data solutions
- Confirming data quality, security, and compliance within data engineering frameworks
- Identifying market opportunities and converting them into successful data-driven strategies for the firm
- Encouraging creativity and systemic thinking to solve complex data challenges and drive technological advancements
What You Must Have
- At least a Bachelor's degree
- At least 8 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
- Leading strategic data engineering initiatives in client-facing environments
- Utilizing Amazon Web Services (AWS) and Microsoft Azure for data solutions
- Developing innovative data architecture and integration strategies
- Promoting technological advances in data engineering platforms
- Mentoring teams in agile scalability and data transformation techniques
- Driving thought leadership in data engineering and analytics
The salary range for this position is: $150,000 - $438,000. 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 8 years of experience
  • Leading strategic data engineering initiatives in client-facing environments
  • Experience with Amazon Web Services (AWS)
  • Experience with Microsoft Azure
  • Experience with Azure Databricks
  • Experience with Apache Hadoop
  • Experience with Apache Airflow
  • Experience with Azure Data Factory
  • Mentoring and leading teams, promoting agile scalability
  • Experience developing data architecture, integration, and transformation strategies

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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