PricewaterhouseCoopers-posted 2 months ago
$155,000 - $410,000/Yr
Full-time • Senior
Chicago, IL
Professional, Scientific, and Technical Services

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. Translating the vision, you set the tone, and inspire others to follow. Your role is crucial in driving business growth, shaping the direction of client engagements, and mentoring the next generation of leaders. You are expected to be a guardian of PwC's reputation, understanding that quality, integrity, inclusion and a commercial mindset are all foundational to our success. You create a healthy working environment while maximising client satisfaction. You cultivate the potential in others and actively team across the PwC Network, understanding tradeoffs, and leveraging our collective strength.

  • Lead the creation and execution of data architecture strategies
  • Drive innovation and thought leadership in data solutions
  • Collaborate with stakeholders to align technical solutions with business needs
  • Maintain compliance with data governance and security protocols
  • Promote an environment where technology and people excel together
  • Translate complex data requirements into actionable technical plans
  • Oversee the implementation of advanced data technologies
  • Facilitate cross-functional collaboration to enhance data architecture
  • Bachelor's Degree
  • 10 years of experience
  • 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)
  • Proficient in Python and structured/unstructured data
  • Proficient in SQL and relational databases
  • Writing and maintaining FastAPI endpoints for applications
  • Understanding AI techniques enhancing LLMs
  • Experience in prompt engineering for LLM outputs
  • Developing scalable data storage solutions using cloud services
  • Designing and managing data warehouses and data lakes
  • Implementing IAM roles and policies for cloud platforms
  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
  • personal and family sick leave
  • annual discretionary bonus
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