Tax Innovation - Data Engineer - Senior Manager

PricewaterhouseCoopers•Dallas, TX

2d•Onsite

About The Position

As a Tax Innovation - Data Engineer - Senior Manager, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. Within our Tax practice, you will leverage advanced technologies and techniques to transform raw data into actionable insights, empowering clients to make informed decisions and drive business growth. In this role, you will develop and implement data pipelines, data integration, and data transformation solutions, playing a crucial role in delivering robust data solutions. As a Senior Manager, you will apply your skills and professional knowledge 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 diverse and inclusive teams contributes to the success of our firm. You will craft and convey clear, impactful messages, apply systems thinking to identify underlying problems, and validate outcomes with clients. In this role at PwC, you will drive project success through strategic advising and influence, fostering a culture of continuous improvement and innovation.

Requirements

At least a Bachelor's degree
At least 7 years of experience

Nice To Haves

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
Demonstrating proficiency in data engineering platforms like Databricks and Snowflake
Utilizing advanced skills in data architecture development and data modeling
Applying strategic questioning and analytical thinking to solve complex problems
Leading teams through ambiguity with composure and strategic direction
Innovating data integration and transformation processes for client solutions
Excelling in coaching and feedback to develop high-performing teams

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
Leveraging advanced technologies and techniques to drive business growth through data engineering
Building and maintaining scalable data architectures using platforms like Amazon Web Services (AWS) and Azure Data Factory
Utilizing Apache Airflow and Hadoop for orchestrating complex data workflows and enhancing data processing capabilities
Developing and optimizing data models and warehouses, including Snowflake and Databricks, to support strategic decision-making
Validating data quality and security within analytics frameworks to maintain data integrity
Coaching and motivating teams to solve complex problems and deliver quality results
Applying systems thinking to identify underlying problems and opportunities in data engineering projects
Crafting and conveying clear, impactful messages that tell a holistic story to clients and stakeholders