Azure Solutions Architect Expert, Azure Data Engineer Associate

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

• 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

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. 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

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth., PwC’s accounting practice originated in London well over a century ago. As times changed and PwC expanded worldwide, our commitment to clients-like you-never wavered. With us, you’re always supported by a global network of more than 223,000 people in 157 countries with one goal: to help your business thrive.

PwC’s professional services include audit and assurance, tax and consulting that cover such areas as cybersecurity and privacy, human resources, deals and forensics. We help resolve complex issues and identify opportunities across these industries.

Let’s combine your aspirations with our world-class capabilities to achieve your goals.

Company Size: 10,000 employees or more