Tax Innovation - Data Governance- Senior Associate

PwC; Washington (District of Columbia); On-site; USD 77,000 - 214,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k)

Job summary

PwC is hiring a Tax Innovation - Data Governance Senior Associate in Washington DC. You will design and build data infrastructure to enable efficient data processing and analysis, delivering insights that drive client decisions.

You’ll develop and implement data pipelines, data integration, and data transformation solutions, working with modern platforms like Azure Data Factory, Databricks, and Snowflake. You will lead data engineering efforts, manage complex client situations, and mentor others

Qualifications

• Bachelor's degree required.
• 3+ years of experience required.

Responsibilities

• Design and implement data pipelines for efficient processing.
• Develop data integration and transformation solutions for client decision-making.
• Utilize Azure Data Factory and Databricks for scalable data architecture.
• Build and maintain data infrastructure to support robust data solutions.
• Apply analytical thinking to transform data into actionable insights.
• Manage database security and data anonymization to ensure data integrity.
• Collaborate with teams to optimize data strategy and performance.
• Leverage Snowflake and Databricks for advanced data modeling.
• Validate data quality and perform data validation processes.

Skills

Azure Data Factory

Databricks

Snowflake

Data pipelines

Data transformation

Data integration

Data anonymization

Database security

Analytical thinking

Team collaboration

Education

Bachelor's degree

Tools

Azure Data Factory

Databricks

Snowflake

SQL

Job description

The Opportunity

As a Tax Innovation - Data Governance Senior Associate, 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 Senior Associate, you will leverage your skills to build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality work while embracing increased ambiguity. You will use critical thinking to break down complex concepts and interpret data to inform insights and recommendations.

In this role at PwC, you will be at the forefront of data engineering, focusing on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your work will be integral to transforming data into insights that drive business growth and enable informed decision-making.

Responsibilities

• Designing and implementing data pipelines to facilitate efficient data processing and analysis
• Developing data integration and transformation solutions to support client decision-making
• Utilizing Azure Data Factory and Databricks Unified Data Analytics Platform for scalable data architecture development
• Building and maintaining data infrastructure to support robust data solutions
• Applying analytical thinking to transform raw data into actionable insights
• Managing database security and data anonymization to uphold data integrity
• Collaborating with teams to optimize data strategy and performance tuning
• Leveraging Snowflake Data Warehouse and Snowflake Schema for advanced data modeling
• Validating data quality and executing data validation processes to maintain accuracy
• Navigating complex client situations to build meaningful relationships and deliver quality solutions

What You Must Have

• At least a Bachelor's degree
• At least 3 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
• Developing data architecture and data integration strategies
• Implementing data anonymization and database security best practices
• Excelling in analytical thinking and problem-solving
• Navigating complex data engineering platforms like Snowflake and Databricks
• Demonstrating creativity and intellectual curiosity in data solutions

The salary range for this position is: $77,000 - $214,000. 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.

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.

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.