below marketmost similar roles pay hereabove market
This role pays less than
65%
of similar roles. Most pay
$139,500–$214,000
— the blue band above.
At the midpoint, this role pays about
$146k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
Employer
About PWC
PwC (PricewaterhouseCoopers) is one of the "Big Four" accounting and professional services firms, providing audit, tax, and advisory services to companies, governments, and institutions worldwide. Industry: Professional Services & Accounting
PWC currently has
101 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 97 roles with salary data.
As a Tax Innovation - Data Governance- Senior Associate within the Tax practice, you will design and build data infrastructure and systems to facilitate efficient data processing and analysis. You will be responsible for developing data pipelines, integration solutions, and transformation processes to turn raw data into actionable insights for client decision-making. Your daily work involves building and maintaining robust data solutions, managing database security, and performing data anonymization to uphold integrity. You will utilize specific technologies including Azure Data Factory, Microsoft Azure Databricks, and Snowflake Data Warehouse. Key responsibilities include advanced data modeling, performance tuning, and executing data validation processes. This role solves complex data engineering problems by creating scalable architectures that transform fragmented information into strategic business recommendations for various client environments.
Design and implement data pipelines to facilitate efficient data processing and analysis.
Develop data integration and transformation solutions to support client decision-making.
Utilize Azure Data Factory and Databricks to develop scalable data architecture.
Build and maintain data infrastructure to support robust data solutions.
Manage database security and data anonymization to uphold data integrity.
Leverage Snowflake Data Warehouse and Snowflake Schema for advanced data modeling.
Validate data quality and execute validation processes to maintain accuracy.
Apply analytical thinking to transform raw data into actionable insights.
What we're looking for
At least a Bachelor's degree.
At least 3 years of experience.
Preference for a degree in Analytics, Data Science, Business, Computer Science, Economics, Engineering, Finance, Mathematics, or Statistics (preferred).
Experience utilizing Azure Data Factory and Microsoft Azure Databricks (preferred).
Experience developing data architecture and data integration strategies (preferred).
Experience implementing data anonymization and database security best practices (preferred).
Experience navigating complex data engineering platforms like Snowflake and Databricks (preferred).
Azure Data Factory
Databricks
Snowflake
Data Engineering
Data Pipelines
Data Modeling
Data Architecture
Data Lakes
Database Management
Data Integration
Data Transformation
Query Optimization
Data Anonymization
Data Architecture
Data Engineering
Azure Data Factory
Databricks
Snowflake
Data Pipelines
Data Integration
Data Transformation
Data Warehouse
Data Quality
Data Analytics
Azure Data Factory
Databricks
Snowflake
Data Engineering
Data Pipelines
Data Modeling
Dimensional Modeling
Data Warehouse
Data Integration
Data Transformation
Data Architecture
Azure
Business Intelligence
Python
Machine Learning
Natural Language Processing
Deep Learning
AWS
Google Cloud
Microsoft Azure
Databricks
Snowflake
Data Engineering
Data Pipelines
AI Engineering