Key Responsibilities

• Provide technical and people leadership for a multidisciplinary software engineering team, setting direction, prioritizing work, and ensuring timely, high-quality delivery.
• Architect, design and oversee implementation of cloud native data pipelines, APIs and microservices using Python, FastAPI, SQL and modern data platforms on AWS, Azure or GCP.
• Champion engineering excellence through developer led testing, CI/CD, IaC (Terraform, CloudFormation, ARM), automated quality gates and performance optimization.
• Partner with product owners, data scientists and business stakeholders to validate outcomes, refine requirements and communicate progress through clear, compelling storytelling.
• Ensure data architecture aligns with governance, security and privacy policies; implement IAM roles, encryption and least privilege access controls across clouds.
• Optimize cloud spend, monitor reliability, and drive continuous improvement using DevOps metrics and SRE practices.
• Mentor and coach engineers, fostering a culture of curiosity, psychological safety and continuous learning; conduct open and honest feedback conversations and guide career development.
• Evaluate emerging technologies and industry trends, make build vs buy recommendations and contribute to thought leadership within PwC US - Acceleration Center and the broader community.
• Model and reinforce the Firm’s Code of Conduct and independence requirements.

Required Skills & Experience

• 8+ years of professional software engineering experience with at least 2 years in a leadership role managing high performing teams.
• Expert level Python with a strong foundation in object-oriented design principles; working knowledge of JavaScript/TypeScript is desirable for full stack collaboration.
• Proven experience designing, building and maintaining REST / FastAPI endpoints and event driven microservices.
• Deep hands-on experience with cloud services across AWS, Azure or GCP, including but not limited to Lambda, Azure Functions, Event Bridge/Event Grid, API Gateway, AI Search, Cosmos DB, Azure SQL DB, RDS/PostgreSQL and managed Kubernetes (EKS/AKS/GKE).
• Proficiency with containerization (Docker) and orchestration (Kubernetes) for scalable deployments.
• Familiarity with front‑end technologies (React, Angular or similar) sufficient to partner on end‑to‑end solution design.
• Operational excellence using GitHub (pull‑request workflows, Actions), Jira (or similar ticketing systems) and disciplined documentation practices.
• Demonstrated track record of delivering high software quality through developer‑led testing, automated validation, CI/CD and Infrastructure‑as‑Code (Terraform, CloudFormation, ARM).
• Strong grasp of data governance, security best practices and compliance frameworks, with ability to implement IAM, encryption and least privilege across clouds.
• Excellent analytical, problem solving and communication skills; able to translate technical concepts for diverse audiences.
• Passion for coaching and developing engineers while cultivating diverse and inclusive teams.