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.
Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
- Apply systems thinking to identify underlying problems and/or opportunities.
- Validate outcomes with clients, share alternative perspectives, and act on client feedback.
- Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
- Deepen and evolve your expertise with a focus on staying relevant.
- Initiate open and honest coaching conversations at all levels.
- Make difficult decisions and take action to resolve issues hindering team effectiveness.
- Model 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.
Minimum Degree Required
Bachelor's Degree
Minimum Year(s) of Experience
8 year(s)
Certification(s) Required
- GCP Professional Cloud Architect, GCP Data Engineer
- QuickBase App Builder Certification and/ or QuickBase Expert Builder Certification
Preferred Qualifications
Certification(s) Preferred
Snowflake Core, Snowflake Architect, Databricks Data Engineer Associate
Preferred Knowledge/Skills
Demonstrates in-depth abilities and/or success in one or many of the following areas:
- Designing and implementing comprehensive data architecture strategies that meet current and future business needs using Google Cloud services;
- Developing and documenting data models, data flow diagrams, and data architecture guidelines;
- Assessing that data architecture is compliant with data governance and data security policies;
- Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions leveraging Google Cloud and Google eco-system solutions;
- Evaluating and recommending new data technologies and tools to enhance data architecture;
- Evaluating data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;
- Developing leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management;
- Leading the implementation of GCP based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;
- Architecting, designing, building and optimizing ETL/ELT pipelines for data ingestion, processing, and storage;
- Developing and deploying scalable data storage solutions using GCP services;
- Architecting, designing, and implementing scalable data pipelines and workflows using GCP tools like Dataflow, Dataprep, Data Fusion, BigQuery, and Cloud Composer, ensuring robust data integration, transformation, and analytics capabilities with advanced BI platforms such as Looker and/ or Tableau;
- Designing, implementing, and managing workflows using low-code/no-code platforms like Quickbase and /or Pega to streamline processes, integrate with enterprise systems, and build scalable, automation-driven applications;
- Architecting, designing and implementing data warehouses and data lakes, ensuring data is organized and accessible;
- Developing frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;
- Architecting and overseeing implementation of IAM roles and policies to manage access and permissions within GCP;
- Developing automation strategies leveraging Terraform for infrastructure as code (IaC) deployments;
- Architecting and implementing services using GCP DevOps services to build and deploy DevOps pipelines;
- Developing data security industry standard practices using GCP;
- Optimizing Cloud resources for cost, performance, and scalability;
- Demonstrating strong proficiency in SQL and experience with relational databases;
- Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus;
- Experience with machine learning and data science workflows is a plus;
- Knowledge of data governance and data security industry practices;
- Possessing strong analytical, problem-solving, and communication skill; and,
- Working independently and as part of a team in a fast-paced environment.
Demonstrates in-depth level abilities with, and/or a proven record of success directing efforts in the following areas:
- Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
- Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback;
- Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment;
- Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures; and,
- Coaching and collaborating with associates who assist with this work, including providing coaching, feedback, and guidance on work performance.
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.
For positions based in San Francisco, consideration of qualified candidates with arrest and conviction records will be in a manner consistent with the San Francisco Fair Chance Ordinance.
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
The salary range for this position is: $130,000 - $256,000, 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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