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)

Preferred Qualifications

Certification(s) Preferred
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 Architect, Databricks Data Engineer Associate] is a plus

Preferred Knowledge/Skills
Demonstrates in-depth abilities and/or success in one or many of the following areas:

Design and implement comprehensive data architecture strategies that meet current and future business needs;
Develop and document data models, data flow diagrams, and data architecture guidelines;
Ensure data architecture is compliant with data governance and data security policies;
Collaborate with business stakeholders to understand their data requirements and translate them into technical solutions;
Evaluate and recommend new data technologies and tools to enhance data architecture;
Evaluate data and technology architecture options and build case for change across architecture principles like Security, Reliability, Scalability, Maintainability, Automation and Cost management;
Lead and drive data strategy engagements providing thought leadership to client and internal tech stakeholders and leadership;
Develop leading practices and perspectives for Data Engineering, Data Science, and Data Governance and Data Management
Lead the implementation of cloud-based solutions, ensuring they meet the specified requirements and best practices across batch, real-time, structured, semi-structured and unstructured datasets;
Architect, design, build and optimize ETL/ELT pipelines for data ingestion, processing, and storage;
Develop and deploy scalable data storage solutions using AWS, Azure and GCP services such as S3, Redshift, RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.;
Architect & Implement data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services;
Architect, Design and implement data warehouses and data lakes, ensuring data is organized and accessible;
Develop frameworks for monitoring and troubleshooting data pipelines, data warehouses and workflows to ensure data quality, system reliability, performance and cost management;
Architect and oversee implementation of IAM roles and policies to manage access and permissions within AWS, Azure, GCP;
Develop automation strategies leveraging AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments;
Architect and implement services using AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines;
Develop data security best practices using AWS, Azure, GCP, Snowflake or Databricks;
Optimize Cloud resources for cost, performance, and scalability;
Strong proficiency in SQL and experience with relational databases;
Proficient in programming languages such as Python, Java, or Scala;
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 best practices;
Strong analytical, problem-solving, and communication skill; and,
Ability to work 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:

Apply modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures;
Collaborate and contribute 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;
Prioritize and handle 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; and,
Research emerging trends, analyzing publications, and adopting modern technologies in solution architectures;
Coach and collaborate 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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