Job description

The Opportunity As a Tax Innovation - Data Engineer - 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 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, you will have the opportunity to work closely with clients, leveraging advanced technologies and techniques to design and develop robust data solutions. Your contributions will be instrumental in driving business growth and enabling informed decision-making. Responsibilities - Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis - Developing and managing data pipelines, integration, and transformation solutions to support client needs - Leading teams in the strategic planning and execution of data engineering projects - Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform to enhance data solutions - Building and maintaining data warehouses and lakes to support business intelligence and analytics - Applying data modeling and dimensional modeling techniques to optimize data architecture - Overseeing data quality, validation, and security within analytics frameworks - Encouraging innovation and embracing change to improve data engineering practices - Mentoring team members to develop their skills and enhance project delivery - Collaborating with stakeholders to identify opportunities for data-driven business growth What You Must Have - At least a Bachelor's degree - At least 5 years of experience What Sets You Apart - Preference for at least one of the following fields of study: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain - Utilizing Azure Data Factory and Microsoft Azure Databricks for data engineering - Developing data architecture and data modeling strategies - Implementing Snowflake Data Warehouse and Snowflake Schema solutions - Excelling in strategic questioning and analytical thinking - Embracing change and innovation in data engineering projects - Mentoring teams in data integration and transformation techniques 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: pwc.to 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: pwc.to. Learn more about how we work: pwc.to 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.

Requirements

Must-haves

Designing and implementing data infrastructure and systems to facilitate efficient data processing and analysis
Developing and managing data pipelines, integration, and transformation solutions to support client needs
Leading teams in the strategic planning and execution of data engineering projects
Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform to enhance data solutions
Building and maintaining data warehouses and lakes to support business intelligence and analytics
Applying data modeling and dimensional modeling techniques to optimize data architecture
Overseeing data quality, validation, and security within analytics frameworks
Encouraging innovation and embracing change to improve data engineering practices
Mentoring team members to develop their skills and enhance project delivery
Collaborating with stakeholders to identify opportunities for data-driven business growth
What You Must Have
At least a Bachelor's degree
At least 5 years of experience
What Sets You Apart
Utilizing Azure Data Factory and Microsoft Azure Databricks for data engineering
Developing data architecture and data modeling strategies
Implementing Snowflake Data Warehouse and Snowflake Schema solutions
Excelling in strategic questioning and analytical thinking
Embracing change and innovation in data engineering projects
Mentoring teams in data integration and transformation techniques

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

azure

Platform: phenom
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401k