below marketmost similar roles pay hereabove market
This role pays less than
69%
of similar roles. Most pay
$156,517–$234,250
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$195k
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.
The Manager, Data and Analytics Engineering at PricewaterhouseCoopers Advisory Services LLC is responsible for designing and building scalable data infrastructure and systems to support reliable data processing, integration, and analysis. The role involves developing end-to-end data pipelines, performing data transformation, and ensuring quality assurance to align with client needs. Key responsibilities include supervising and coaching teams while collaborating with cross-functional groups to deliver technical solutions. Candidates must possess experience architecting enterprise data pipelines using SQL and Python, as well as developing AI-enhanced architectures featuring Generative AI, RAG, and prompt engineering. Technical proficiency in AWS, Microsoft Azure, and Google Cloud Platform is required, alongside experience with Agile, Scrum, and API-based data acquisition. This role solves complex data integration and infrastructure problems within a professional services context.
Design and build scalable data infrastructure and systems for efficient data processing and integration.
Develop and implement end-to-end data pipelines using modern technologies and tools.
Perform data transformation, validation, and quality assurance to ensure data accuracy and consistency.
Architect and deploy scalable cloud-based data solutions using AWS, Azure, and GCP.
Develop AI-enhanced architectures including Generative AI, RAG, and agentic solutions.
Craft code in SQL and Python to architect enterprise data pipelines.
Manage data acquisition and management using API-based methods and SDLC methodologies like Agile.
Supervise, coach, and provide guidance to junior staff members.
What we're looking for
Must have a Bachelor’s degree in Business Analytics, Engineering, Computer Science, Management Information Systems, or a related field plus 5 years of related work experience.
Alternatively, must have a Master’s degree in Business Analytics, Engineering, Computer Science, Management Information Systems, or a related field plus 3 years of related work experience.
Must have at least one year of experience architecting enterprise data pipelines and crafting code in SQL and Python.
Must have at least one year of experience developing AI-enhanced architectures, including GenAI, RAG, AI agents, and prompt engineering.
Must have at least one year of experience architecting, deploying, and managing scalable cloud-based data solutions using AWS, MS Azure, and GCP.
Must have at least one year of experience with SDLCs such as Agile and Scrum and API-based data acquisition.
Must be able to commute to the designated local office.
Must be able to travel domestically and/or internationally up to 80% of the time.
Power BI
DAX
Power Query
M Code
SQL
Python
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ETL
ELT
Excel
VBA
Power Automate
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Data Governance
Version Control