Tax Data Innovation Senior Associate – Data Governance

PwC; New York (NY); On-site; USD 77,000 - 214,000; Full time

Benefits offered by this job

Medical, dental, vision

401k

Holiday pay

Vacation

Sick leave

Job summary

PwC seeks a Tax Innovation - Data Governance Senior Associate in New York to design data infrastructure and pipelines for client data processing and insights. You’ll build and optimize data integration and transformation solutions, with a focus on security, quality, and scalable architectures.

You will lead and inspire teams, manage complex situations, and deliver high-quality work while expanding your technical expertise in modern data platforms like Snowflake, Databricks, and Azure Data

Qualifications

• Bachelor's degree or higher required.
• 3+ years of experience in data engineering or analytics.

Responsibilities

• Design and implement data pipelines for efficient processing.
• Develop data integration and transformation solutions.
• Leverage Azure Data Factory and Databricks for scalable architecture.
• Build and maintain data infrastructure to support analytics.
• Apply analytical thinking to convert data into insights.
• Ensure data security and anonymization practices.
• Collaborate to optimize data strategy and performance.
• Model data using Snowflake schemas and data warehousing.
• Validate data quality and run data validation processes.
• Engage with clients and teams to deliver robust solutions.

Skills

Data Pipeline Design

Data Transformation

SQL & Database Skills

Data Quality & Validation

Education

Bachelor's degree

Tools

Azure Data Factory

Databricks

Snowflake

Job description

PwC seeks a Tax Innovation - Data Governance Senior Associate in New York to design data infrastructure and pipelines for client data processing and insights. You’ll build and optimize data integration and transformation solutions, with a focus on security, quality, and scalable architectures.

You will lead and inspire teams, manage complex situations, and deliver high-quality work while expanding your technical expertise in modern data platforms like Snowflake, Databricks, and Azure Data