IN_Senior Associate_Data Snowflake Developer_GCC_Advisory_Gurgaon

PwC India; Gurugram District; On-site; INR 2,800,000 - 4,500,000; Full time

Benefits offered by this job

Tableau license

Professional development

Job summary

PwC India is seeking a seasoned Data Architect to lead the design and implementation of data infrastructure. You will drive data pipelines, Snowflake transformations, and BI-ready data stores to support analytics across client engagements.

The role requires deep expertise in DWH/BI architecture, Salesforce/CPQ data, and mentoring a team of engineers and analysts. You will collaborate with cross-functional teams, enforce data governance, and stay current with industry trends while delivering

Qualifications

• 10+ years of experience in data architecture, data engineering, or related fields.
• Strong Snowflake expertise with data transformation in Snowflake.
• Proven experience in Data Warehouse and BI architecture.
• Experience with Salesforce and CPQ data and architecture.
• Proficiency with BI tools: Tableau, Power BI, Sigma Computing.

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 BI architectures to support analytics and reporting.
• Be versed with Salesforce & CPQ data and architecture for accurate reporting.
• Provide technical leadership and mentorship to a team of data engineers and analysts.
• Collaborate with cross-functional teams to translate business requirements into data models.
• Implement and maintain best practices for data management, governance, and security.
• Implement BI tools (Tableau, Power BI, Sigma Computing) to enhance visualization and reporting.
• Stay current with industry trends and emerging technologies.

Skills

Solution Architect

Snowflake

Data warehousing

BI Tools

Data Migration

Education

Engineering / Tech degrees

Tools

Tableau

Power BI

Sigma Computing

Salesforce CPQ

Job description

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.

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations 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

• 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 analyse 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

5 to 10 years

Education qualification

• Bachelor's or master's degree in computer science, Information Technology, or a related field.

Requirements

• 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

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

Degrees/Field of Study preferred:

Required Skills

Python (Programming Language)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, 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 {+ 30 more}

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

May 18, 2026