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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Solutions Architect Expert, Azure Data Engineer Associate - **Company:** PwC - **Location:** Houston, TX, United States - **Experience:** Expert - **Salary:** $99,000.0 - $232,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Systems Engineering, Microsoft Azure, Cloud Computing, Cloud Engineering, Data Architecture, Data Infrastructure, Data Integration, DevOps, Information Sciences, Python (Programming Language), Machine Learning, Cloud Services, Standard Sql, Software Engineering, SQL Databases, Scripting, Google Cloud, Azure Data Factory, Large Language Models, Snowflake, Prompt Engineering, Cloudformation, Containerization, Information Technology, Star Schema, AWS Data Analytics, Terraform, Azure Resource Manager, Docker, Databricks - **Published:** August 20, 2026 - **Apply:** https://www.careerbuilder.com/job-details/genai-python-systems-engineer-manager-houston-tx--b78baa5c-0c1e-43cc-9594-420d280f3e22 ## About the Role * 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, * 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 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, Algorithms, Amazon Web Services (AWS), Analysis Skills, Artificial Intelligence (AI), Automation, Budget Management, Business Growth, Business Processes, Business Support, Chemical Engineering, Cloud Architecture, Cloud Computing, Coaching, Computer Science, Continuous Improvement, Data Analysis, DevOps, Docker, Electrical Engineering, GCP (Good Clinical Practices), Genetics, Industrial Engineering, Information Science, Leadership, Machine Learning, Management of Information Systems/Technology (MIS), Mathematics, Mentoring, Microsoft Windows Azure, Performance Management, Problem Solving Skills, Python Programming/Scripting Language, Resource Management, SQL (Structured Query Language), Snowflake Schema, Software Engineering, Statistics, Strategic Planning, Systems Administration/Management, Systems Engineering, Team Lead/Manager, Willing to Travel ## Description Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * 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. The Opportunity 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. 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 * Uphold the firm's ethical standards and business conduct * Implement strategic planning to achieve project success and quality outcomes ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)