Data Engineer - Senior Manager

Sorry, this job was removed at 02:19 a.m. (CST) on Wednesday, Sep 24, 2025
69 Locations
Remote or Hybrid
124K-280K Annually
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Grow here. Go further.
The Role
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
  • Craft and convey clear, impactful and engaging messages that tell a holistic story.
  • Apply systems thinking to identify underlying problems and/or opportunities.
  • Validate outcomes with clients, share alternative perspectives, and act on client feedback.
  • Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
  • Deepen and evolve your expertise with a focus on staying relevant.
  • Initiate open and honest coaching conversations at all levels.
  • Make difficult decisions and take action to resolve issues hindering team effectiveness.
  • Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.

As part of the Data and Analytics Engineering team you design and implement thorough data architecture strategies that meet current and future business needs. As a Senior Manager you lead large projects, innovate processes, and maintain operational excellence while interacting with clients at a strategic level to drive project success. You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and collaborating with business stakeholders to translate their data requirements into technical solutions.
Responsibilities
- Design and implement thorough data architecture strategies
- Lead large-scale projects and innovate processes
- Maintain operational excellence and client interactions
- Develop and document data models and data flow diagrams
- Adhere to data governance and security policies
- Collaborate with business stakeholders to translate data requirements into technical solutions
- Drive project success through strategic advising and problem-solving
- Foster a diverse and inclusive team environment
What You Must Have
- Bachelor's Degree
- 8 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate] is a plus
- Designing and implementing thorough data architecture strategies
- Developing and documenting data models and data flow diagrams
- Maintaining data architecture compliance with governance and security policies
- Collaborating with stakeholders to translate data requirements into solutions
- Evaluating and recommending new data technologies and tools
- Leading data strategy engagements providing thought leadership
- Developing leading practices for Data Engineering, Data Science, and Data Governance
- Architecting and implementing cloud-based solutions meeting industry standards
Learn more about how we work: https://pwc.to/how-we-work
PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.
For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.
Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines
The salary range for this position is: $124,000 - $280,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
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HQ: New York, NY
370,000 Employees
Year Founded: 1998

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Build what’s next — with tech that matters

PwC provides professional services across Audit and Assurance, Advisory and Tax — powered by a global network of over 370,000 people in 149 countries. You may know us for our business expertise, but technology is core to how we help clients move faster, build trust and deliver meaningful outcomes.

As a technologist, you’ll work on agile teams with experienced engineers and product thinkers — using AI, cloud, cybersecurity and more to design scalable, real-world solutions.

You’ll keep learning, stay challenged and be part of a network where your growth is built in — and your work drives what’s next.

Why Work With Us

At PwC, our professionals include technologists, engineers, programmers and consultants working across AI, cloud, cybersecurity, data and more. You’ll explore innovative ways to help clients transform their business through technology—reducing complexity, unlocking value and shaping a more agile, data-driven future.

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