Data Engineer Manager at PwC | Atlanta | Databricks

Data Engineer Manager at PwC in Atlanta | Databricks & Kafka

If you are an experienced data and analytics leader looking for a role that combines technology, project leadership, client engagement, and team development, the Managed Services Data Engineer (Databricks & Kafka) Manager position at PwC is worth considering. This full-time opportunity is listed within PwC’s Data and Analytics organization and is designed for professionals who have already led large-scale data and analytics programs.

The position stands out because it goes beyond hands-on data engineering. The successful candidate will help lead modern data ecosystem initiatives, manage client-facing programs, guide teams, develop data strategies, and identify opportunities where analytics can create business value. It is therefore particularly relevant to professionals who have progressed from technical delivery into program and people leadership.

PwC lists the position across numerous U.S. locations, including Atlanta, Georgia, as well as several other cities. The posting identifies the role as a Manager-level, full-time position with travel requirements of up to 60%.

For professionals searching for a Data Engineer Manager job at PwC, this opportunity offers exposure to large data initiatives, cloud-scale development, managed services, transformation programs, and leadership responsibilities.

Job Overview

Job Detail	Information
Company	PwC
Position	Managed Services – Data Engineer (Databricks & Kafka) – Manager
Location	Atlanta, Georgia, plus multiple U.S. locations
Employment Type	Full-time
Job Category	Data and Analytics
Level	Manager
Specialty	Managed Services
Travel	Up to 60%
Education	Bachelor's degree
Experience	10 years in data and analytics management
Job ID	716292WD

The posting states that candidates should have at least eight years of experience leading large data and analytics programs or initiatives, including three years managing and delivering managed data and analytics programs or managed assets.

About PwC

PwC is a global professional services organization operating across areas such as consulting, assurance, tax, and business transformation. Its technology-focused work increasingly involves helping organizations use data, cloud platforms, analytics, automation, and other digital capabilities to address complex business challenges.

For technology professionals, PwC can provide an environment where technical expertise intersects with consulting and client delivery. Instead of working solely on an internal technology platform, professionals in managed services may work on initiatives designed around operational needs, transformation objectives, and long-term client outcomes.

This particular opportunity sits within the Data and Analytics area. The role is therefore positioned at the intersection of data engineering, analytics strategy, managed services, program management, and leadership.

What Does a Data Engineer Manager Do at PwC?

This is a leadership-oriented data role rather than an entry-level engineering position. The manager is expected to connect technical delivery with business objectives while keeping projects, teams, and client relationships moving in the right direction.

Key Responsibilities

• Lead modern data ecosystem projects: Guide initiatives involving the development and improvement of enterprise data environments, making sure technical work supports broader business goals.
• Translate data insights into opportunities: Help stakeholders understand how analytics and data capabilities can contribute to operational improvements and new areas of value.
• Manage teams and client accounts: Coordinate delivery teams while maintaining effective relationships with clients and other stakeholders.
• Provide strategic direction: Help shape data strategies and transformation initiatives instead of focusing only on individual technical tasks.
• Mentor and develop professionals: Support junior and experienced team members through coaching, feedback, knowledge sharing, and leadership.
• Maintain delivery quality: Keep projects aligned with expected timelines, standards, risks, and client requirements.
• Manage risks and issues: Identify challenges early and coordinate appropriate responses when data or analytics programs encounter obstacles.
• Support growth opportunities: Recognize potential areas where additional data, analytics, or technology capabilities could benefit clients.
• Encourage collaboration: Build an environment where technical specialists and business stakeholders can work effectively toward shared outcomes.

The official posting emphasizes project ownership, team development, quality, client expectations, strategic planning, and technology adoption as important elements of the manager-level position.

Required Skills

Technical and Professional Skills

Candidates should be comfortable working across large-scale data and analytics environments. Relevant capabilities include:

• Data and analytics program leadership
• Modern data ecosystem development
• Data processing and delivery
• Cloud-scale development
• Data strategy
• Analytics transformation
• Risk and issue management
• Managed services delivery
• Technology transformation initiatives
• Client-facing program management

Although Databricks and Kafka appear directly in the job title, applicants should review the official posting carefully to understand the complete expectations rather than assuming that tool-specific expertise alone will qualify them.

Leadership and Soft Skills

The position also requires strong leadership capabilities. Useful strengths include:

• Clear communication
• Strategic thinking
• Team mentoring
• Stakeholder management
• Problem solving
• Conflict resolution
• Decision-making
• Client relationship management
• Collaboration
• Ability to manage competing priorities

At manager level, technical knowledge must be combined with the ability to explain complex issues clearly and guide teams toward practical outcomes.

Preferred Skills

PwC identifies several additional qualifications and experiences that can strengthen an application, including:

• Information Technology, Computer Science, or Information Science education
• PMP certification
• Accredited Scrum Master certification
• ITIL experience
• Leadership of Data & Analytics projects
• Experience designing and delivering data-processing activities
• Experience leading large transformation discussions
• Data and analytics risk management
• Business growth and opportunity identification
• Cloud-scale development leadership

Qualifications

The minimum education requirement listed for this role is a Bachelor's degree. The experience requirement is significant: PwC specifies 10 years of experience in data and analytics management, with at least eight years leading large data and analytics programs or initiatives and three years managing and delivering managed data and analytics programs.

Because this is a Manager position, candidates should be prepared to demonstrate leadership results rather than simply list technologies on a resume. Examples of program ownership, transformation work, team leadership, client delivery, and measurable improvements can make an application more compelling.

Salary, Benefits and Perks

The listed salary range for this position is $99,000 to $232,000. PwC states that actual compensation depends on factors including skills, experience, qualifications, location, and applicable employment laws. The posting also states that hired employees are eligible for an annual discretionary bonus.

The listed benefits include offerings such as:

• Medical coverage
• Dental coverage
• Vision coverage
• 401(k)
• Holiday pay
• Vacation
• Personal and family sick leave

Benefits and compensation can depend on employment terms and location, so applicants should verify the latest details directly through the official PwC careers posting.

Why Consider This Opportunity?

Leadership Growth

Professionals moving toward senior data leadership may find this role particularly relevant because it combines technical programs with team and client management.

Broad Technology Exposure

The position is associated with modern data ecosystems, data processing, cloud-scale development, and analytics transformation. That combination can provide exposure to technology decisions beyond a single engineering task.

Strategic Responsibilities

The role involves developing data strategies and connecting analytics initiatives with business opportunities. This makes it suitable for professionals who want to move further into strategic technology leadership.

Mentoring Opportunities

PwC expects managers to coach and develop team members. That creates an opportunity for experienced professionals to strengthen their people-management and leadership skills.

Multiple U.S. Locations

Although Atlanta is highlighted in the job URL, the posting lists many eligible locations across the United States, including Indianapolis, Dallas, Charlotte, Raleigh, Miami, Denver, Houston, and several others.

Hiring Process

The exact hiring process can vary depending on the position and candidate. Applicants should not assume that every PwC role follows the same sequence.

A typical professional hiring journey may include:

1. Online application through the company's careers platform.
2. Resume screening against the position's experience and qualifications.
3. Initial recruiter conversation if selected for further consideration.
4. Interview rounds covering experience, leadership, technical knowledge, and role fit.
5. Additional assessment or interviews, if required for the position.
6. Final review and offer for successful candidates.

The official posting should always be treated as the authoritative source for current application requirements and deadlines.

How to Apply

Interested candidates should apply through the official PwC careers website rather than third-party job portals or unofficial recruiters.

The role is listed as Job ID 716292WD, and applicants should review the complete requirements before submitting their resume. The posting states that applications are accepted until the position is filled or the posting is removed, subject to the applicable application-deadline information.

Official Apply Link:
https://jobs.us.pwc.com/en/job/atlanta/managed-services-data-engineer-databricks-and-kafka-manager/932/93274075968

Frequently Asked Questions

1. Who can apply for this PwC Data Engineer Manager position?

The position is aimed at experienced data and analytics professionals who meet the stated education and substantial management experience requirements.

2. Is this a full-time position?

Yes. The job posting identifies the opportunity as a full-time Manager-level position.

3. Where is the job located?

Atlanta, Georgia is listed, along with numerous other U.S. locations. Candidates should verify the location options shown on the live posting before applying.

4. How much experience is required?

PwC lists 10 years of experience in data and analytics management, including eight years leading large data and analytics initiatives and three years managing managed data and analytics programs.

5. Is a Bachelor's degree required?

Yes. A Bachelor's degree is listed as a required qualification. A degree in Information Technology, Computer Science, or Information Science is identified as preferred.

6. Are PMP or Scrum certifications required?

They are listed among the qualifications that can set candidates apart. The posting does not identify them as the core minimum education requirement.

7. Does the role involve travel?

Yes. The posting specifies travel requirements of up to 60%.

8. Is remote work available?

The supplied posting does not confirm a fully remote arrangement. Applicants should check the current PwC listing for the applicable work-location policy before applying.

9. What is the advertised salary?

The listed salary range is $99,000–$232,000, with actual compensation dependent on several factors including location, experience, skills, and qualifications.

10. Where should candidates apply?

Candidates should use the official PwC careers page linked in this article. Avoid submitting sensitive personal information through unofficial job advertisements.

Related Job Suggestions

Professionals interested in this opportunity may also search for:

1. Senior Data Engineering Manager
2. Data & Analytics Program Manager
3. Cloud Data Engineering Manager
4. Data Platform Engineering Manager
5. Managed Services Data Manager
6. Data Transformation Manager
7. Analytics Engineering Manager
8. Enterprise Data Architect

Final Thoughts

The PwC Managed Services Data Engineer (Databricks & Kafka) Manager opportunity is designed for an experienced professional who can combine data and analytics knowledge with program leadership, client management, and team development.

The experience threshold is substantial, so this is not a typical next-step role for someone early in a data engineering career. However, for an established data and analytics leader with experience managing large programs and managed services environments, it presents an opportunity to work across technology strategy, transformation, delivery, and people leadership.

Before applying, review the live PwC posting carefully for the latest location, compensation, eligibility, and application information. Job details can change, and the employer's current careers page should always be considered the final source of truth.