below marketmost similar roles pay hereabove market
This role pays less than
73%
of similar roles. Most pay
$160,050–$231,150
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$196k
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
104 open roles
on FindRole.
Listed pay typically runs
$99,000–$232,000
across 101 roles with salary data.
Manager, Data and Analytics Engineering, PricewaterhouseCoopers Advisory Services LLC joins the data and analytics team to design and build scalable data infrastructure and systems. The role involves developing end-to-end data pipelines, performing data transformation, and ensuring quality assurance to support reliable data processing and integration. Key responsibilities include supervising and coaching teams, collaborating with cross-functional groups, and proposing practical applications for emerging technologies. The position requires expertise in architecting enterprise data pipelines using SQL and Python, as well as implementing AI-enhanced architectures featuring Generative AI, RAG, and prompt engineering. Candidates must manage scalable cloud-based solutions across AWS, Microsoft Azure, and Google Cloud Platform while utilizing Agile and Scrum methodologies for API-based data acquisition and management within the systems development lifecycle.
Design and build scalable data infrastructure and systems for efficient data processing and analysis.
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 manage 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.
Supervise, coach, and provide guidance to junior staff members.
Support the development of technical solutions that align with client needs and business goals.
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.