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.
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.
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.
PwC Austin, Texas, USA Office
835 West 6th Street, Austin, TX, United States, 78703
Similar Jobs at PwC
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves overseeing the modernization of insurance operations, enhancing customer experiences, mentoring teams, and driving cloud transformation initiatives while managing client relationships.
Top Skills:
APIsAzureCi/CdCloud Platforms (AwsContainersEvent StreamingGcp)
9 Hours Ago
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves overseeing risk management, negotiating contracts, and ensuring compliance in advisory consulting services. The candidate will lead teams, influence stakeholders, and drive project success.
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
The role involves managing tax advisory services for private companies, developing and coaching teams, solving complex problems, and leveraging technology for enhanced client service. Candidates must have a Bachelor's in Accounting and at least 4 years of experience.
Top Skills:
Us Tax Code
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

