Azure Databricks & MS Fabric - Manager

PwC; Bengaluru; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

PwC Acceleration Center India seeks an Azure Databricks & MS Fabric Manager to transform raw data into actionable insights for a diverse client portfolio. You will design data infrastructure, implement pipelines, and lead data engineering projects with an emphasis on quality and timely delivery.

As a Manager, you'll mentor teams, engage with stakeholders, drive innovative solutions, and ensure data security and compliance while embracing emerging technologies across Advisory, Assurance, Tax and

Qualifications

• What You Must Have: A Bachelor's degree and 8+ years of experience; English proficiency required.
• Strong leadership, mentoring, and stakeholder-management capabilities.
• Experience with data engineering platforms and modern data architectures.

Responsibilities

• Designing and implementing data pipelines and integration solutions to support efficient data processing and analysis
• Developing and managing data infrastructure using Azure Databricks and Microsoft Fabric to transform raw data into actionable insights
• Leading teams in the strategic planning and execution of data engineering projects, confirming timely delivery and quality outcomes
• Utilizing advanced data engineering platforms and tools such as Apache Airflow and Snowflake to optimize data workflows and storage solutions
• Building and maintaining scalable data architectures that support business intelligence and analytics initiatives
• Collaborating with stakeholders to identify data challenges and develop innovative solutions that drive business growth
• Mentoring and coaching team members to enhance their skills and performance in data engineering practices
• Validating data quality and security measures to maintain compliance and integrity within data systems
• Encouraging the adoption of new technologies and methodologies to improve data engineering processes and outcomes

Skills

Leadership

Mentoring

Stakeholder management

Communication

Education

Bachelor's degree

Tools

Azure Databricks

Microsoft Fabric

Apache Airflow

Snowflake

Hadoop

Data Lake

Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You'll work at the heart of global teams across Advisory, Assurance, Tax and Business Services-solving real client challenges through connected collaboration. We'll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference-every day.

As an Azure Databricks & MS Fabric Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Advisory practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. With your growing business knowledge, you will identify opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values meaningfully. Embracing technology and innovation will be key to enhancing your delivery and encouraging others to do the same.

In this role at PwC Acceleration Center India, you will take ownership of projects, confirming their successful planning, budgeting, execution, and completion. You will address conflicts or issues, engaging in difficult conversations with clients, team members, and other stakeholders, escalating where appropriate.

Responsibilities

• Designing and implementing data pipelines and integration solutions to support efficient data processing and analysis
• Developing and managing data infrastructure using Azure Databricks and Microsoft Fabric to transform raw data into actionable insights
• Leading teams in the strategic planning and execution of data engineering projects, confirming timely delivery and quality outcomes
• Utilizing advanced data engineering platforms and tools such as Apache Airflow and Snowflake to optimize data workflows and storage solutions
• Building and maintaining scalable data architectures that support business intelligence and analytics initiatives
• Collaborating with stakeholders to identify data challenges and develop innovative solutions that drive business growth
• Mentoring and coaching team members to enhance their skills and performance in data engineering practices
• Validating data quality and security measures to maintain compliance and integrity within data systems
• Encouraging the adoption of new technologies and methodologies to improve data engineering processes and outcomes

What You Must Have

• At least a Bachelor's degree
• At least 8 years of experience
• Oral and written proficiency in English required

What Sets You Apart

• Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
• Demonstrating proficiency in Azure Databricks and Microsoft Fabric
• Utilizing data engineering platforms like Apache Hadoop and Apache Airflow
• Excelling in data architecture development and data integration
• Managing data warehousing solutions such as Snowflake and Data Lake
• Leveraging Agile methodologies for scalable data solutions
• Developing skills in database optimization and query performance tuning

Travel Requirements

Not Specified

Job Posting End Date