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About the Role

As a Data Engineer - Senior Manager within the Technology Consulting practice, you will transform raw data into actionable insights, enabling informed decision-making and driving business growth. You will focus on designing and building data infrastructure and systems for efficient data processing and analysis, developing and implementing data pipelines, data integration, and data transformation solutions. You will leverage your skills and network to deliver quality results, motivating and coaching teams to solve complex problems, applying sound judgment, and developing and sustaining diverse and inclusive teams. Your commitment to excellence contributes to the success of our firm. You will craft clear, impactful messages, apply systems thinking to identify problems, validate outcomes with clients, direct teams through complexity, and initiate coaching conversations.

Responsibilities

Leading the design and development of data infrastructure and systems to facilitate efficient data processing and analysis
Developing and implementing data pipelines, integration, and transformation solutions to support client needs
Utilizing Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities
Applying advanced data modeling techniques, including dimensional modeling and Directed Acyclic Graphs (DAGs), to optimize data architecture
Overseeing database management, optimization, and security best practices to maintain data integrity
Collaborating with cross-functional teams to drive data strategy and deliver actionable insights
Promoting the use of innovative technologies such as Apache Hadoop and Databricks Unified Data Analytics Platform
Validating data quality and implementing data anonymization techniques to protect sensitive information
Directing teams through complex data engineering projects, demonstrating composure in challenging situations
Coaching and mentoring team members to develop high-performing, diverse, and inclusive teams

Requirements

At least a Bachelor's degree
At least 6 years of experience
Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
Demonstrating proficiency in data engineering platforms like Databricks and Snowflake
Utilizing advanced skills in data architecture development and optimization
Leading teams in implementing data integration and transformation strategies
Applying systems thinking to solve complex data challenges
Excelling in managing data pipelines and confirming data quality
Leveraging cloud platforms such as AWS and Azure for scalable data solutions

Skills

Data pipelines
Data integration
Data transformation
Amazon Web Services (AWS)
Azure Data Factory
Dimensional modeling
Directed Acyclic Graphs (DAGs)
Database management
Apache Hadoop
Databricks Unified Data Analytics Platform
Data quality validation
Data anonymization
Databricks
Snowflake
Data architecture
Cloud platforms
AWS
Azure

Work Type

Up to 60% travel

Experience Level

Senior Manager
6 years of experience

Education Level

Bachelor's degree

Salary/Compensations

$124,000 - $280,000

Benefits

Medical
Dental
Vision
401k
Holiday pay
Vacation
Personal and family sick leave

About the Company

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more.
Learn more about how we work: https://pwc.to/how-we-work
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
To view other PwC job opportunities, visit https://jobs.us.pwc.com.
Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

Equal Opportunity

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.
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.
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.