About The Position

At PwC, the GenAI Python Systems Engineer-Director role focuses on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. This involves transforming raw data into actionable insights to enable informed decision-making and drive business growth. The Director is responsible for designing and building data infrastructure and systems, developing and implementing data pipelines, data integration, and data transformation solutions. This leadership role involves translating vision, setting the tone, and inspiring others, while driving business growth, shaping client engagements, and mentoring future leaders. The Director is expected to uphold PwC's reputation through quality, integrity, inclusion, and a commercial mindset, fostering a healthy working environment and maximizing client satisfaction. Key aspects include leading the design and implementation of data architecture strategies, driving thought leadership, promoting technological advances, and creating an environment where people and technology thrive together. The role also involves collaborating with business stakeholders to translate data requirements into technical solutions and ensuring data architecture compliance with governance and security policies.

Requirements

  • Minimum Degree Required: Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required.
  • 10 years of experience

Nice To Haves

  • 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 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

Responsibilities

  • 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

Benefits

  • medical
  • dental
  • vision
  • 401k
  • holiday pay
  • vacation
  • personal and family sick leave
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