IN_Senior Associate_Snowflake Developer_GCC_Advisory_Gurgaon

PwC South Africa; Gurugram District; On-site; Confidential; Full time

Benefits offered by this job

Mentorship

Flexible benefits

Wellbeing programs

Job summary

PwC is seeking a Senior Associate in Data Engineering to lead design and implementation of data architectures, focusing on Snowflake and BI integrations. The role emphasizes data governance and collaboration across business units.

You will mentor engineers, optimize data pipelines, and deliver robust data solutions that empower analytics and decision making. The position requires extensive experience and leadership in data platforms.

Qualifications

• Minimum 10 years of experience in data architecture or data engineering.
• Proven expertise in Snowflake and data transformation within Snowflake.
• Strong background in Data Warehouse (DWH) and BI architecture.
• Experience with Salesforce & CPQ data and architecture.
• Proficiency with BI tools such as Tableau, Power BI, Sigma Computing, and others.

Responsibilities

• Lead the design, development, and implementation of data architecture and solutions.
• Oversee, develop and manage data transformation processes within Snowflake to ensure data integrity, quality, and performance.
• Design and optimize Data Warehouse (DWH) and Business Intelligence (BI) architectures to support analytics and reporting.
• Mentor a team of data engineers and analysts, fostering innovation and continuous improvement.
• Collaborate with cross-functional teams to translate business requirements into technical data models.
• Implement and maintain data governance and data security best practices.
• Deploy BI tools (Tableau, Power BI, Sigma Computing) to enhance visualization and reporting.
• Stay current with industry trends and emerging data technologies.

Skills

Snowflake

Data architecture

BI Tools

Data Warehousing

Salesforce & CPQ data

Team leadership

Data governance

Education

Bachelor’s or master’s degree in Computer Science / IT

Tools

Tableau

Power BI

Sigma Computing

Salesforce integration

Job description

Job Description & Summary

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate 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. In data engineering at PwC, 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.

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:

• Lead the design, development, and implementation of data architecture and solutions
• Oversee, develop and manage data transformation processes within Snowflake to ensure data integrity, quality, and performance.
• Design and optimize Data Warehouse (DWH) and Business Intelligence (BI) architectures to support business analytics and reporting needs.
• Well versed with Salesforce & CPQ data and architecture. Understands financial bookings and revenue reports in Salesforce and DWH, ensuring accurate reporting and reconciliation practices.
• Provide technical leadership and mentorship to a team of data engineers and analysts, fostering a culture of innovation and continuous improvement.
• Collaborate with cross-functional teams to gather and analyze business requirements, translating them into technical specifications and data models.
• Implement and maintain best practices for data management, data governance, and data security.
• Implementation of BI tools, like Tableau, Power BI, Sigma Computing, and others, to enhance data visualization and reporting capabilities.
• Stay current with industry trends, emerging technologies, and best practices in data architecture, data transformation, and BI tools.

Mandatory skill sets:

• Solution Architect, Snowflake, Data warehousing, BI Tools Experience, Data Migration on or from snowflake

Preferred skill sets:

• Snowflake Years of experience required: Experience and Qualifications 5 to 10 years Education qualification: Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Experience and Qualifications

A minimum of 10 years of experience in data architecture, data engineering, or a related field.

Proven expertise in Snowflake and data transformation processes within Snowflake.

Strong background in Data Warehouse (DWH) and Business Intelligence (BI) architecture.

Experience with Salesforce & CPQ data and architecture.

Proficiency with BI tools such as Tableau, Power BI, Sigma Computing, and others.

In-depth understanding of financial bookings and revenue reports in Salesforce and DWH.

Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.

Strong leadership and team management skills, with the ability to motivate and guide a team of technical professionals.

Exceptional communication and collaboration skills, with the ability to interact effectively with stakeholders at all levels.

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

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

Required Skills Amazon Web Services (AWS), Data Engineering

• Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required?

Job Posting End Date August 25, 2026

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.