Senior Manager, Azure Data Architect, Data Analytics, Advisory

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Manager

Job Description & Summary

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.

Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & Summary: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:

Overview- We are seeking a highly skilled and experienced Azure Data Architect to design, develop, and manage scalable and secure data solutions on Microsoft Azure. The ideal candidate will have a deep understanding of cloud data architecture, modern data platforms, data governance, and analytics frameworks. You will collaborate closely with data engineers, analysts, and business stakeholders to enable data-driven decision-making. Key Responsibilities · Design and implement end-to-end data architectures on Microsoft Azure (e.g., Data Lake, Data Factory, Synapse Analytics, Databricks, etc.). · Define and implement data strategies, roadmaps, and governance frameworks. · Lead the development of scalable data pipelines, integration workflows, and ETL/ELT processes. · Design and optimize Azure SQL Databases, Cosmos DB, and other storage solutions. · Ensure security, privacy, and compliance of data solutions (e.g., role-based access, data masking, encryption). · Implement data modeling best practices for structured, semi-structured, and unstructured data. · Collaborate with cross-functional teams to understand business requirements and translate them into data solutions. · Monitor and troubleshoot data architecture performance and reliability issues. · Guide and mentor data engineering teams on Azure best practices · Evaluate new Azure services and tools for continuous improvement. · Strong knowledge of: o Azure Data Factory o Azure Data Lake Storage (Gen2) o Azure Synapse Analytics o Azure Databricks

o Azure SQL Database / Cosmos DB o Azure Purview / Microsoft Fabric (optional)

Mandatory skill sets:

· Proficiency in data modeling, warehousing, and modern data lake house concepts. · Familiarity with Python, SQL, Spark, and Power BI. · Deep understanding of data governance, data quality, and data security principles. · Strong communication and stakeholder management skills.

Preferred skill sets:

· Azure Data Engineer Associate (DP-203) · Azure Solutions Architect Expert (AZ-305) · Azure Enterprise Data Analyst Associate (DP-500)

Years of experience required:

12-15 Years

Education qualification:

B.Tech / M.Tech / MBA / MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Architecture

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Coaching and Feedback, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM) {+ 44 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date