GenAI Python Systems Engineer-Manager

Skills

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold 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.

Responsibilities

• Lead the design and execution of data architecture strategies that support business objectives.
• Mentor and guide team members to deliver exceptional solutions.
• Utilize team strengths to manage performance and fulfill client requirements.
• Collaborate with stakeholders to enhance cloud resources effectively.
• Drive innovation and technology adoption to advance data integration solutions.
• Foster a culture of continuous improvement and learning within the team.
• Implement strategic planning to achieve project success and quality outcomes.

Requirements

• Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics.
• 5 years of experience.

What Sets You Apart

• 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 SQL.
• Experience with Docker and containerized deployments.
• Skilled in AI techniques enhancing LLMs.
• Experience in prompt engineering for LLM optimization.
• Implementing data integration solutions using AWS, Azure, GCP.
• Utilizing AWS CloudFormation, Azure Resource Manager, Terraform.
• Building and deploying DevOps pipelines with cloud services.
• Enhancing cloud resources for cost and performance.

Pay

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.

Benefits

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 Role

As part of the Data and Analytics Engineering team, you lead the development and implementation of data architecture strategies that align with business needs. As a Manager, you guide and mentor your team, delivering top-quality solutions while leveraging team strengths and managing performance to meet client expectations. You play a crucial role in collaborating with stakeholders, enhancing cloud resources, and embracing technology and innovation to improve data architecture and integration solutions.