IN_Senior Associate_Cloud Data Architect _Data & Analytics_Advisory_Mumbai

IN_Senior Associate_Cloud Data Architect _Data & Analytics_Advisory_Mumbai

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 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. "

Job Description: A career within….

Responsibilities:

· Design and implement scalable big data architectures and solutions utilizing PySpark, SparkSQL, and Databricks on Azure or AWS. · Experience in building robust data models and maintain metadata-driven frameworks to optimize data processing and analytics. · Build, test, and deploy sophisticated ETL pipelines using Azure Data Factory and other Azure-based tools. · Ensure seamless data flow from various sources to destinations including ADLS Gen 2. · Implement data quality checks and validation frameworks. · Establish and enforce data governance principles ensuring data security and compliance with industry standards and regulations. · Manage version control and deployment pipelines using Git and DevOps best practices. · Provide accurate effort estimation and manage project timelines effectively. · Collaborate with cross-functional teams to ensure aligned project goals and objectives. · Leverage industry knowledge in banking, insurance, and pharma to design tailor-made data solutions. · Stay updated with industry trends and innovations to proactively implement

cutting-edge technologies and methodologies. · Facilitate discussions between technical and non-technical stakeholders to drive project success. · Document technical solutions and design specifications clearly and concisely.

Mandatory skill sets:

· Extensive experience with PySpark, SparkSQL, and Databricks on Azure. · Proficient in using Azure Data Lake Storage Gen 2, Azure Data Factory, Azure Event Hub, Synapse. · Strong experience in data modeling, metadata frameworks, and effort estimation. · Experience of DevSecOps practices with proficiency in Git. · Demonstrated experience in implementing data quality, data security, and data governance measures.

Preferred skill sets:

· ndustry experience in banking, insurance, or pharma is a significant plus. · Excellent communication skills, capable of articulating complex technical concepts to diverse audiences. · Certification in Azure, Databricks or related Cloud technologies is a must. · Familiarity with machine learning frameworks and data science methodologies would be preferred.

Years of experience required:

8 – 12 yrs

Education qualification:

Btech/MBA/MCA

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

Degrees/Field of Study required: Master of Business Administration, Bachelor of TechnologyDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

PySpark, Structured Query Language (SQL)

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, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

March 13, 2026

Experience Level

Senior Level