Manager Azure Data Engineer, Data and Analytics Advisory, Bangalore

At PwC, our data and analytics professionals leverage data to drive insights and informed business decisions, utilizing advanced analytics to optimize client operations and achieve strategic goals. In business intelligence, you will provide strategic insights and develop innovative solutions to enhance competitive advantage. As a Manager / Tech Lead for Azure Data Engineering, you will lead the design and implementation of end-to-end data solutions on Microsoft Azure, requiring deep expertise in Azure data services and strong architectural skills. You will guide teams in building scalable, secure, and cost-effective data platforms, collaborating with stakeholders to translate requirements into robust solutions and ensuring adherence to best practices in data governance, performance optimization, and compliance.

Must Have

• Lead design and implementation of end-to-end data solutions on Microsoft Azure.
• Deep expertise in Azure data services and strong architectural skills.
• Guide teams in building scalable, secure, and cost-effective data platforms.
• Design and implement data lakes, data warehouses, and ETL/ELT processes on Microsoft Azure.
• Develop scalable and efficient data architectures for large-scale data processing.
• Ensure high performance, security, and compliance within Azure data solutions.
• Evaluate and select appropriate Azure services (Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks, Unity Catalog, Azure Data Factory).
• Provide technical leadership and guidance to development teams.
• Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability.
• Implement data governance, privacy, and compliance requirements.
• Hands-on experience with programming languages (SQL, Python, Scala) and RDBMS platforms (MS SQL Server, Oracle).
• Implement CI/CD pipelines using Azure DevOps for data engineering projects.
• Design and manage distributed data processing for big data batch or streaming pipelines.
• Perform data modeling and convert OLTP structures into Star Schema.
• 6-9 years of experience in data engineering and architecture.
• Deep knowledge and hands-on experience with Azure Data Services (ADF, ADLS, Synapse, Databricks, Unity Catalog).
• Strong understanding of lakehouse and warehouse architectures.
• Experience in data governance, compliance, and security best practices.

Good to Have

• Experience with Microsoft Fabric.
• Experience with DBT.
• Familiarity with data visualization tools (Power BI, Tableau).

Perks & Benefits

• Vibrant community of solvers
• Purpose-led and values-driven work
• Technology-powered environment that drives innovation
• Opportunity to make a tangible impact in the real world
• Rewards for contributions
• Support for wellbeing
• Inclusive benefits
• Flexibility programmes
• Mentorship
• Equal employment opportunities without discrimination
• Environment for personal growth and firm's growth

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*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. "

Responsibilities:

Job Summary: As a Manager / Tech Lead for Azure Data Engineering, you will lead the design and implementation of end-to-end data solutions on Microsoft Azure. This role requires deep expertise in Azure data services, strong architectural skills, and the ability to guide teams in building scalable, secure, and cost-effective data platforms. You will collaborate with business and technical stakeholders to translate requirements into robust solutions and ensure adherence to best practices in data governance, performance optimization, and compliance. Roles and Responsibilities: · Design and implement end-to-end data solutions on Microsoft Azure, including data lakes, data warehouses, and ETL/ELT processes. · Develop scalable and efficient data architectures to support large-scale data processing and analytics workloads. · Ensure high performance, security, and compliance within Azure data solutions. · Evaluate and select appropriate Azure services such as Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks (including configuration and cost optimization), Unity Catalog, and Azure Data Factory. · Provide technical leadership and guidance to development teams implementing data engineering solutions. · Collaborate with Data Scientists, Analysts, and other stakeholders to align data architectures with business goals. · Optimize cloud-based data infrastructure for performance, cost-effectiveness, and scalability. · Monitor and troubleshoot performance and availability issues in Azure-based data solutions. · Implement data governance, privacy, and compliance requirements. · Work closely with business and technical teams to translate data needs into architecture solutions. · Experience with Microsoft Fabric is highly desirable. · Hands-on experience with programming languages (SQL, Python, Scala) and RDBMS platforms (MS SQL Server, Oracle). Implement CI/CD pipelines using Azure DevOps for data engineering projects. · Design and manage distributed data processing for big data batch or streaming pipelines. · Perform data modeling and convert OLTP structures into Star Schema; experience with DBT is a plus. · Familiarity with data visualization tools (Power BI, Tableau). · Strong problem-solving attitude and ability to prioritize tasks effectively. Desired Candidate Profile: · B.E./B.Tech. or MCA with 6–9 years of experience in data engineering and architecture.

· Deep knowledge and hands-on experience with Azure Data Services (ADF, ADLS, Synapse, Databricks, Unity Catalog). · Strong understanding of lakehouse and warehouse architectures. · Experience in data governance, compliance, and security best practices. · Excellent communication and leadership skills. · Highly self-motivated, collaborative, and detail-oriented.

Mandatory skill sets:

Azure Data Engineer

Preferred skill sets:

Azure Data Engineer

Years of experience required:

6—9 Years

Education qualification:

B.E.(B.Tech)/M.E/M.Tech

Education

Degrees/Field of Study required: Bachelor of Technology, Master of Engineering

Required Skills

Data Engineering

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 more}