GenAI Python Systems Engineer -Senior Manager
Role details
Job location
Tech stack
Job description
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.
As part of the Data and Analytics Engineering team you lead the design and implementation of thorough data architecture strategies. As a Director, you drive thought leadership, promote technological advances, and create an environment where people and technology thrive together. This role involves collaborating with business stakeholders to translate data requirements into technical solutions and safeguarding data architecture compliance with governance and security policies.
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
Requirements
Do you have experience in Technical solutions implementation?, Do you have a Bachelor's degree?, 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., * Bachelor's Degree
- 8 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] 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
Benefits & conditions
Pulled from the full job description
- 401(k)
- Health insurance
- Vision insurance
- Dental insurance
- Paid holidays, The salary range for this position is: $124,000 - $280,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance
About the company
PwC provides services to 420 out of 500 Fortune 500 companies. The firm was formed in 1998 by a merger between Coopers & Lybrand and Price Waterhouse.