Lead design and build of data infrastructure, pipelines, integration, and transformation using Azure Data Factory and Databricks. Manage teams and client accounts, mentor staff, ensure project success, optimize databases, apply security best practices, and drive data architecture and innovation to deliver actionable insights.
The Opportunity
As a Tax Innovation & Delivery Experience - Data Engineering - Manager, 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. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
In this role within our Tax practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will have the opportunity to work with advanced technologies and techniques, contributing to the development of robust data solutions for clients. This position offers a dynamic environment where you can develop skills outside your comfort zone and encourage others to do the same, all while upholding PwC's quality standards.
Responsibilities
- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering solutions
- Developing data architecture and modeling strategies to support business growth and informed decision-making
- Managing database administration and optimization to enhance data quality and performance
- Applying database security best practices to safeguard data integrity and compliance
- Leading teams in strategic planning and execution of data-driven initiatives
- Coaching and mentoring team members to leverage their strengths and deliver quality outcomes
- Analyzing system components to identify linkages and interactions for improved data solutions
- Encouraging innovation and embracing technology to enhance delivery and client service expectations
What You Must Have
- At least a Bachelor's degree
- At least 4 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
- Excelling in data architecture development and data integration
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing and optimizing data pipelines and data warehouses
- Implementing data anonymization and data security best practices
- Leading teams in agile scalability and strategic questioning
- Mentoring others in data engineering platforms and tools
The salary range for this position is: $99,000 - $266,000. 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 - Manager, 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. As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
In this role within our Tax practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will have the opportunity to work with advanced technologies and techniques, contributing to the development of robust data solutions for clients. This position offers a dynamic environment where you can develop skills outside your comfort zone and encourage others to do the same, all while upholding PwC's quality standards.
Responsibilities
- Designing and developing data infrastructure and systems to facilitate efficient data processing and analysis
- Implementing data pipelines, integration, and transformation solutions to convert raw data into actionable insights
- Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data engineering solutions
- Developing data architecture and modeling strategies to support business growth and informed decision-making
- Managing database administration and optimization to enhance data quality and performance
- Applying database security best practices to safeguard data integrity and compliance
- Leading teams in strategic planning and execution of data-driven initiatives
- Coaching and mentoring team members to leverage their strengths and deliver quality outcomes
- Analyzing system components to identify linkages and interactions for improved data solutions
- Encouraging innovation and embracing technology to enhance delivery and client service expectations
What You Must Have
- At least a Bachelor's degree
- At least 4 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
- Excelling in data architecture development and data integration
- Utilizing Azure Data Factory and Microsoft Azure Databricks
- Developing and optimizing data pipelines and data warehouses
- Implementing data anonymization and data security best practices
- Leading teams in agile scalability and strategic questioning
- Mentoring others in data engineering platforms and tools
The salary range for this position is: $99,000 - $266,000. 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 New York, New York, USA Office
300 Madison Ave, New York, NY, United States, 10017
PwC Florham Park, New Jersey, USA Office
400 Campus Drive, Florham Park, NJ, United States, 7932
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