Tax Innovation & Delivery Experience - Data Engineering - Manager

PWC

Quick summary

Work type
On-site
Location
New York, NYStamford, CTMelville, NYLos Angeles, CAChicago, IL
Salary
$99,000–$266,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $182k
$79k most similar roles pay here $286k

This role pays less than 51% of similar roles. Most pay $139,500–$223,812 — the shaded band above. At the midpoint, this role pays about $182k versus about $182k 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 53 open roles on FindRole.

Listed pay typically runs $99,000–$232,000 across 53 roles with salary data.

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View all roles at PWC

At a glance

TL;DR · Tax Innovation & Delivery Experience - Data Engineering - Manager

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As a Tax Innovation & Delivery Experience Data Engineering Manager, you will lead teams in designing and building data infrastructure that enables efficient processing and analysis of raw data to generate actionable insights. Your daily tasks include implementing Azure Data Factory and Databricks for scalable solutions, developing data architecture strategies, and managing database optimization while ensuring security compliance. You will mentor junior staff, foster innovation, and drive strategic planning to meet client expectations in a dynamic environment. Essential skills encompass expertise in data engineering platforms like Azure Data Factory and Databricks, as well as experience in data anonymization and agile team leadership within the tax practice domain at PwC.

Skills

Azure Data Factory Microsoft Azure Databricks Data Architecture Database Administration Agile Methodology CI/CD Python SQL Kafka Hadoop Spark Docker Terraform AWS PostgreSQL Snowflake Git Jenkins Prometheus Grafana

What you'll do

  • Design and develop data infrastructure to enable efficient processing and analysis.
  • Implement data pipelines using Azure Data Factory and Databricks for scalable solutions.
  • Develop data architecture strategies to support business growth through informed decisions.
  • Manage database administration to enhance quality and performance of data systems.
  • Lead teams in strategic planning and execution of data-driven initiatives.

What we're looking for

  • Proven experience designing and developing complex data infrastructure and systems.
  • Expertise in implementing data pipelines using Azure Data Factory and Databricks.
  • Strong background in data architecture development and optimization.
  • Demonstrated ability to lead teams and mentor junior staff in data engineering.
  • Experience in database security, anonymization, and compliance practices.
  • Capability to analyze system components for improved data solutions integration.

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