Tax Innovation & Delivery Experience - Data Engineering - Senior Manager

PWC

Quick summary

Work type
On-site
Location
New York, NYMelville, NYStamford, CTWashington, DCBoston, MA
Salary
$124,000–$335,000 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $230k
$99k most similar roles pay here $360k

This role pays more than 80% of similar roles. Most pay $140,187–$223,187 — the shaded band above. At the midpoint, this role pays about $230k 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.

Most-posted roles

View all roles at PWC

At a glance

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

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As a Tax Innovation & Delivery Experience Data Engineering Senior Manager at PwC, you will lead the design and development of data infrastructure and systems to enable efficient data processing and analysis. Your daily tasks include building scalable data architectures using platforms like Azure Data Factory and Snowflake, developing data pipelines, and collaborating with cross-functional teams to address complex challenges. You will utilize advanced technologies such as AWS and Microsoft Azure to transform raw data into actionable insights, ensuring high standards of data quality and security. Additionally, you will coach and mentor team members, validate outcomes with clients, and maintain composure in ambiguous situations while driving business growth through innovative data strategies.

Skills

AWS Azure Snowflake Azure Data Factory Python SQL CI/CD Kubernetes Docker Terraform PostgreSQL BigQuery DataBricks Spark MuleSoft Git Jenkins Prometheus Grafana

What you'll do

  • Lead the design and development of data infrastructure and systems for efficient processing.
  • Develop and implement data pipelines using advanced technologies to support client needs.
  • Build scalable data architectures on platforms like Azure Data Factory and Snowflake.
  • Oversee deployment of data engineering solutions, ensuring data quality and security.
  • Apply systems thinking to identify underlying problems and opportunities in data processes.

What we're looking for

  • Extensive experience in designing and developing data infrastructure and systems.
  • Proficiency in building scalable data architectures using Azure Data Factory and Snowflake.
  • Expertise in implementing advanced data pipelines and transformation solutions.
  • Strong skills in utilizing AWS and Microsoft Azure for enterprise data solutions.
  • Ability to apply systems thinking to identify and solve complex data challenges.
  • Demonstrated success in coaching and mentoring team members to enhance performance.

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