Lead Data Engineer

Specialty/Competency: Data, Analytics & AI

Industry/Sector: Not Applicable

Time Type: Full time

Travel Requirements: Up to 60%

At PwC, we encourage a culture of innovation and excellence in the realms of data and analytics engineering. Our team is dedicated to leveraging the latest technologies to craft robust data solutions for our clients. Join us in transforming raw data into invaluable insights that empower informed decision-making and foster business growth.

As a Lead Data Engineer, you will take charge of designing and constructing advanced data infrastructure and systems that enhance data processing and analytical capabilities. Your expertise will play a crucial role in developing and implementing efficient data pipelines, ensuring seamless data integration, and transforming data into highly actionable formats.

In this pivotal role, you will build and nurture strong client relationships, mentor junior team members, and adeptly navigate complex challenges. Cultivate your personal brand while deepening your technical expertise, consistently anticipating the needs of your clients and teams to deliver exceptional results. Embrace opportunities for continuous growth and learning, even in uncertain situations.

Key Responsibilities:

• Design and implement comprehensive data architecture strategies tailored to client needs.
• Analyze complex issues and devise innovative solutions to drive project success.
• Mentor junior team members, providing valuable guidance and support.
• Uphold rigorous standards in all project deliverables.
• Build and maintain strong client relationships through effective communication.
• Gain a thorough understanding of the evolving business environment and its impact on project objectives.
• Manage and navigate complex scenarios effectively.
• Enhance your personal brand and technical proficiency through ongoing learning.

What You Must Have:

• Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or a related field.
• At least 2 years of relevant experience in data engineering.

What Sets You Apart:

• A relevant certification in Cloud Platforms such as AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, or Microsoft Azure Data Engineer is a plus.
• Experience designing and implementing comprehensive data architecture strategies.
• Proficiency in developing and documenting data models, data flow diagrams, and data architecture guidelines.
• Knowledge of data governance and security policies to ensure compliance in architecture design.
• Ability to collaborate with business stakeholders to understand and address their data requirements.
• Strong skills in building and maintaining ETL/ELT pipelines for efficient data ingestion and processing.
• Experience in deploying scalable data storage solutions using AWS, Azure, and GCP services.
• Expertise in implementing data integration solutions using tools such as AWS Glue, AWS Lambda, Azure Data Factory, and GCP Dataflow.
• A focus on optimizing cloud resources for cost-effectiveness, performance, and scalability.

PwC is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, age, disability, or any other status protected by law. Applications will be accepted until the position is filled or the posting is removed.

The salary range for this position is: $77,000 - $202,000. Actual compensation will depend on individual skills, experience, qualifications, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus and a comprehensive benefits package including medical, dental, vision, 401k, vacation, and more.