In_manager_azure Data Engineer_data And Analytics_advisory_bangalore

Data, Analytics & AI Manager

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.

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.

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:

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.
• Optimise 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 modelling and convert OLTP structures into Star Schema; experience with DBT is a plus.
• Familiarity with data visualisation tools (Power BI, Tableau).
• Strong problem-solving attitude and ability to prioritise 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.

Location: Bangalore, Hyderabad

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