Description
& SummaryAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.
You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations.
With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm.
You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs.
As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations.
You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions.
Responsibilities
- Lead the design and execution of data architecture strategies that support business objectives
- Mentor and guide team members to deliver exceptional solutions
- Utilize team strengths to manage performance and fulfill client requirements
- Collaborate with stakeholders to enhance cloud resources effectively
- Drive innovation and technology adoption to advance data integration solutions
- Foster a culture of continuous improvement and learning within the team
- Uphold the firm's ethical standards and business conduct
- Implement strategic planning to achieve project success and quality outcomes
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 Mathematical Statistics
- 5 years of experience
What Sets You Apart
- Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus
- Proficient in Python and SQL
- Experience with Docker and containerized deployments
- Skilled in AI techniques enhancing LLMs
- Experience in prompt engineering for LLM optimization
- Implementing data integration solutions using AWS, Azure, GCP
- Utilizing AWS CloudFormation, Azure Resource Manager, Terraform
- Building and deploying DevOps pipelines with cloud services
- Enhancing cloud resources for cost and performance
Travel Requirements
Up to 80%Job Posting End Date
Learn more about 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: .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.