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.
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:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
- Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
- Develop skills outside your comfort zone, and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
- Uphold 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.
The Opportunity
As part of the Data and Analytics Engineering team you are responsible for leading technology workstreams within larger projects, managing client expectations and identifying opportunities for additional engagement. As a Manager, you are tasked with guiding teams in strategic planning and execution, facilitating project success and maintaining exemplary standards. You are expected to leverage your technical proficiency with Azure, Databricks, and Snowflake to enhance PwC's intellectual property and promote its use across delivery teams, while building and maintaining client relationships to identify technological challenges and propose practical solutions.
Responsibilities
- Lead technology workstreams and manage client expectations effectively
- Guide teams in strategic planning and successful execution of projects
- Utilize technical proficiency in Azure, Databricks, and Snowflake to enhance intellectual property
- Build and maintain enduring client relationships to identify and address technological challenges
- Propose impactful solutions to complex problems
- Promote the use of innovative technologies across delivery teams
- Maintain exemplary standards in every deliverable
- Identify opportunities for additional client engagement
What You Must Have
- Bachelor's Degree
- 5 years of experience
What Sets You Apart
- Master's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics preferred
- Certification in one of the following cloud platform providers - AWS/Azure/GCP/Snowflake/Databricks
- Leading technology workstreams within larger projects
- Building and maintaining client relationships
- Applying modern, cloud-based technology skills
- Providing technical leadership within specific technology domains
- Enhancing PwC's intellectual property related to technology implementations
- Designing and developing scalable data warehouse solutions
- Understanding and familiarity with CI/CD, cloud devops, containers
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.
All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.
The salary range for this position is: $100,000 - $232,000, 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 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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