IN_Senior Manager - Data and Cloud Architect -Data and Analytics - Advisory

📍 Job Overview

Job Title: Senior Manager - Data and Cloud Architect - Data and Analytics - Advisory - Mumbai
Company: PwC
Location: Mumbai, Maharashtra, India
Job Type: On-site
Category: Data Engineering, Cloud Architecture
Date Posted: 2025-07-24
Experience Level: 10+
Remote Status: On-site

🚀 Role Summary

Lead the design and implementation of scalable big data architectures and solutions using advanced technologies like PySpark, SparkSQL, and Databricks on Azure or AWS.
Collaborate with cross-functional teams to ensure aligned project goals and objectives, managing project timelines effectively.
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.

📝 Enhancement Note: This role requires a strategic mindset to balance technical depth with business acumen, making it an excellent fit for experienced data and cloud architects looking to advance their careers in a global consulting firm.

💻 Primary Responsibilities

Architecture Design & Implementation: Design and implement scalable big data architectures and solutions using advanced technologies such as PySpark, SparkSQL, and Databricks on Azure or AWS.
Data Pipeline Development: Build, test, and deploy sophisticated ETL pipelines using Azure Data Factory and other Azure-based tools to ensure seamless data flow from various sources to destinations including ADLS Gen 2.
Data Quality & Governance: Implement data quality checks and validation frameworks, and establish and enforce data governance principles to ensure data security and compliance with industry standards and regulations.
Project Management: Provide accurate effort estimation and manage project timelines effectively, collaborating with cross-functional teams to ensure aligned project goals and objectives.
Stakeholder Communication: Facilitate discussions between technical and non-technical stakeholders to drive project success, documenting technical solutions and design specifications clearly and concisely.

📝 Enhancement Note: The role requires a strong focus on project management and stakeholder communication, making it an excellent fit for experienced data architects looking to develop their leadership skills in a collaborative, cross-functional environment.

🎓 Skills & Qualifications

Education: Bachelor's degree in computer science, engineering, or a related field. Master’s Degree preferred.

Experience: 8+ years of experience in big data architecture and engineering, with extensive experience in PySpark, SparkSQL, Databricks on Azure, Azure Data Lake Storage Gen 2, Azure Data Factory, Azure Event Hub, Synapse, and strong experience in data modeling, metadata frameworks, and effort estimation.

Required Skills:

Proficiency in Azure tools and strong communication skills
Experience in building robust data models and maintain metadata-driven frameworks to optimize data processing and analytics
Experience in managing version control and deployment pipelines using Git and DevOps best practices
Demonstrated experience in implementing data quality, data security, and data governance measures
Familiarity with machine learning frameworks and data science methodologies would be preferred

Preferred Skills:

Industry experience in banking, insurance, or pharma
Certification in Azure, Databricks, or related cloud technologies

📝 Enhancement Note: The role requires a strong technical background in big data architecture and engineering, with a preference for candidates with industry-specific experience and relevant certifications.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

Demonstrate your proficiency in big data architecture and engineering through case studies showcasing your ability to design and implement scalable data solutions using advanced technologies.
Highlight your experience in building ETL pipelines and data integration projects, emphasizing your ability to ensure seamless data flow and efficient data processing.
Showcase your expertise in data quality and governance by including examples of data validation frameworks and data security measures you've implemented in previous projects.
Include examples of your project management skills, demonstrating your ability to manage project timelines and collaborate with cross-functional teams to ensure project success.

Technical Documentation:

Provide clear and concise documentation of your technical solutions and design specifications, highlighting your ability to communicate complex technical concepts to diverse audiences.
Include examples of your code quality and version control practices, demonstrating your commitment to best practices in software development.

📝 Enhancement Note: The role requires a strong portfolio demonstrating the candidate's ability to design and implement scalable data solutions, with a focus on big data architecture, ETL pipeline development, data quality, and project management.

💵 Compensation & Benefits

Salary Range: INR 2,500,000 - 3,500,000 per annum (research-based estimate for Senior Manager level in Mumbai, considering industry standards and regional cost of living)

Benefits:

Flexible programs
Mentorship opportunities
Inclusive benefits package

Working Hours: 40 hours per week, with flexible deployment windows and maintenance schedules as needed.

📝 Enhancement Note: The salary range is estimated based on industry standards for Senior Manager level roles in Mumbai, with adjustments for regional cost of living. The benefits package is inclusive and designed to support work-life balance and professional development.

🎯 Team & Company Context

🏢 Company Culture

Industry: Professional services, focusing on advisory, tax, and assurance services for a wide range of industries and clients.

Company Size: Large (global network with over 284,000 people in more than 150 countries)

Founded: 1874 (with a history of mergers and acquisitions)

Team Structure:

Collaborative, cross-functional teams with a strong focus on knowledge sharing and mentorship
Flat hierarchy with a focus on agile decision-making and innovation
Diverse teams with a range of expertise in various industries and technologies

Development Methodology:

Agile methodologies with a focus on sprint planning, code review, testing, and quality assurance practices
Continuous integration and continuous deployment (CI/CD) pipelines for automated deployment and server management
Strong emphasis on data-driven decision-making and analytics

Company Website: PwC India

📝 Enhancement Note: PwC's culture is characterized by its global network, collaborative teams, and commitment to knowledge sharing and innovation. The company's size and global presence provide ample opportunities for career growth and development.

📈 Career & Growth Analysis

Web Technology Career Level: Senior Manager - Data and Cloud Architect, responsible for leading the design and implementation of scalable big data architectures and solutions, with a focus on driving business growth through data-driven insights and innovation.

Reporting Structure: Reports directly to the Partner or Director of the Data and Analytics practice, collaborating with cross-functional teams to ensure aligned project goals and objectives.

Technical Impact: Leads the technical direction of data and cloud architecture projects, driving business growth through data-driven insights and innovation. Responsible for ensuring data security, compliance, and governance in accordance with industry standards and regulations.

Growth Opportunities:

Technical Leadership: Develop your leadership skills by managing teams and driving technical decision-making in complex data and cloud architecture projects.
Industry Expertise: Deepen your industry knowledge by working on projects in various industries, such as banking, insurance, and pharma, and by staying updated with industry trends and innovations.
Global Exposure: Leverage PwC's global network to gain international experience and expand your professional network.

📝 Enhancement Note: The role offers significant growth opportunities for experienced data and cloud architects looking to advance their careers in a global consulting firm with a strong focus on data-driven decision-making and innovation.

🌐 Work Environment

Office Type: Modern, collaborative workspaces with a focus on employee well-being and productivity

Office Location(s): Mumbai Shivaji Park, with opportunities for remote work and international assignments based on project requirements

Workspace Context:

Collaborative workspaces with multiple monitors and testing devices available to support efficient development and quality assurance practices
Access to a wide range of tools and technologies to facilitate innovation and continuous learning
Strong emphasis on work-life balance and flexible work arrangements to support employee well-being

Work Schedule: Flexible work schedules with deployment windows and maintenance schedules as needed, with a focus on project deadlines and client deliverables.

📝 Enhancement Note: PwC's work environment is designed to support collaboration, innovation, and work-life balance, with a strong focus on employee well-being and professional development.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Demonstrate your technical proficiency in big data architecture, ETL pipeline development, and data quality through case studies, coding challenges, and technical presentations.
Behavioral Assessment: Showcase your communication, leadership, and problem-solving skills through behavioral interviews and case studies.
Final Evaluation: Present your final project proposal and discuss your approach to technical challenges, stakeholder communication, and project management.

Portfolio Review Tips:

Highlight your proficiency in big data architecture and engineering through case studies showcasing your ability to design and implement scalable data solutions using advanced technologies.
Include examples of your ETL pipeline development and data integration projects, emphasizing your ability to ensure seamless data flow and efficient data processing.
Showcase your expertise in data quality and governance by including examples of data validation frameworks and data security measures you've implemented in previous projects.
Include examples of your project management skills, demonstrating your ability to manage project timelines and collaborate with cross-functional teams to ensure project success.

Technical Challenge Preparation:

Brush up on your technical skills in big data architecture, ETL pipeline development, and data quality, focusing on recent trends and best practices.
Prepare for case studies and technical presentations, emphasizing your ability to communicate complex technical concepts to diverse audiences.
Familiarize yourself with PwC's industry-specific challenges and opportunities, focusing on banking, insurance, and pharma.

ATS Keywords: Big Data Architecture, Azure, AWS, PySpark, SparkSQL, Databricks, ETL Pipeline, Data Quality, Data Governance, Project Management, Stakeholder Communication, Cloud Technologies, Data-Driven Decision Making, Agile Methodologies, CI/CD Pipelines, Global Network, Collaborative Teams, Work-Life Balance, Technical Leadership, Industry Expertise, Global Exposure

📝 Enhancement Note: The interview process is designed to assess the candidate's technical proficiency, communication skills, and leadership potential, with a strong focus on data-driven decision-making and innovation.

🛠 Technology Stack & Web Infrastructure

Big Data Technologies:

PySpark, SparkSQL, Databricks on Azure
Azure Data Lake Storage Gen 2, Azure Data Factory, Azure Event Hub, Synapse
Hadoop, Apache Airflow, Apache Hive, Apache Kafka

Cloud Platforms:

Azure (preferred), with experience in AWS and other cloud platforms

Data Management & Governance:

SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra
Data modeling, metadata frameworks, data quality, and data governance best practices

Version Control & Collaboration:

Git, GitHub, Azure DevOps, Jenkins, Docker
Agile methodologies, CI/CD pipelines, and DevOps best practices

Data Visualization & Business Intelligence:

Power BI, Tableau, QlikView
Data storytelling, data-driven decision-making, and performance optimization techniques

📝 Enhancement Note: The technology stack is designed to support the development and deployment of scalable big data architectures and solutions, with a focus on data quality, governance, and performance optimization.

👥 Team Culture & Values

Data & Analytics Values:

Data-driven decision-making and innovation
Collaborative and inclusive team culture
Continuous learning and improvement
Strong commitment to data security, privacy, and compliance

Collaboration Style:

Cross-functional collaboration with designers, marketers, and business teams
Agile methodologies with a focus on sprint planning, code review, and quality assurance practices
Knowledge sharing and mentorship opportunities

Leadership Principles:

Inspire and influence others to achieve common goals
Foster a culture of continuous learning and improvement
Drive innovation and change through data-driven insights and collaboration

📝 Enhancement Note: PwC's data and analytics values emphasize collaboration, innovation, and continuous learning, with a strong commitment to data security, privacy, and compliance.

📊 Challenges & Growth Opportunities

Technical Challenges:

Design and implement scalable big data architectures and solutions using advanced technologies such as PySpark, SparkSQL, and Databricks on Azure or AWS.
Build, test, and deploy sophisticated ETL pipelines using Azure Data Factory and other Azure-based tools to ensure seamless data flow from various sources to destinations including ADLS Gen 2.
Implement data quality checks and validation frameworks, and establish and enforce data governance principles to ensure data security and compliance with industry standards and regulations.
Manage version control and deployment pipelines using Git and DevOps best practices, ensuring efficient and reliable deployment of big data solutions.

Learning & Development Opportunities:

Technical Skill Development: Deepen your technical expertise in big data architecture, ETL pipeline development, and data quality through training, workshops, and online learning platforms.
Industry Knowledge: Expand your industry knowledge by working on projects in various industries, such as banking, insurance, and pharma, and by staying updated with industry trends and innovations.
Leadership Development: Develop your leadership skills through mentorship, coaching, and project management opportunities, focusing on driving technical decision-making and innovation in cross-functional teams.

📝 Enhancement Note: The role offers significant technical challenges and learning opportunities for experienced data and cloud architects looking to advance their careers in a global consulting firm with a strong focus on data-driven decision-making and innovation.

💡 Interview Preparation

Technical Questions:

Big Data Architecture: Describe your approach to designing and implementing scalable big data architectures using advanced technologies such as PySpark, SparkSQL, and Databricks on Azure or AWS. How do you ensure data security, compliance, and governance in your solutions?
ETL Pipeline Development: Walk us through your experience in building, testing, and deploying ETL pipelines using Azure Data Factory and other Azure-based tools. How do you ensure seamless data flow and efficient data processing in your pipelines?
Data Quality & Governance: Explain your approach to implementing data quality checks and validation frameworks, and establishing and enforcing data governance principles. How do you ensure data security and compliance with industry standards and regulations?
Project Management: Describe your experience in managing project timelines and collaborating with cross-functional teams to ensure aligned project goals and objectives. How do you balance technical depth with business acumen to drive project success?

Company & Culture Questions:

PwC Culture: How do you see yourself contributing to PwC's collaborative, cross-functional teams and driving innovation through data-driven decision-making and continuous learning?
Industry Expertise: How have your experiences in banking, insurance, or pharma informed your approach to data and cloud architecture, and how do you plan to apply this industry knowledge to drive business growth at PwC?
Global Exposure: How do you plan to leverage PwC's global network to gain international experience and expand your professional network, and how do you think this will benefit your role and the company?

Portfolio Presentation Strategy:

Technical Depth: Highlight your proficiency in big data architecture, ETL pipeline development, and data quality through case studies and technical presentations, emphasizing your ability to communicate complex technical concepts to diverse audiences.
Business Impact: Showcase your understanding of business objectives and how your technical solutions drive business growth and innovation, focusing on data-driven decision-making and stakeholder communication.
Collaboration & Leadership: Demonstrate your ability to work effectively in cross-functional teams and drive technical decision-making, focusing on your leadership skills and commitment to knowledge sharing and mentorship.

📝 Enhancement Note: The interview process is designed to assess the candidate's technical proficiency, communication skills, and leadership potential, with a strong focus on data-driven decision-making and innovation in a global consulting firm.

📌 Application Steps

To apply for this Senior Manager - Data and Cloud Architect - Data and Analytics - Advisory - Mumbai position:

Portfolio Customization: Tailor your portfolio to showcase your proficiency in big data architecture, ETL pipeline development, and data quality, focusing on your ability to design and implement scalable data solutions using advanced technologies.
Resume Optimization: Highlight your relevant experience in big data architecture, ETL pipeline development, and data quality, emphasizing your ability to manage project timelines and collaborate with cross-functional teams to ensure project success.
Technical Interview Preparation: Brush up on your technical skills in big data architecture, ETL pipeline development, and data quality, focusing on recent trends and best practices. Prepare for case studies and technical presentations, emphasizing your ability to communicate complex technical concepts to diverse audiences.
Company Research: Familiarize yourself with PwC's industry-specific challenges and opportunities, focusing on banking, insurance, and pharma. Understand PwC's global network and collaborative team culture, and be prepared to discuss how your experiences and skills align with the company's values and objectives.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web technology industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

IN_Senior Manager - Data and Cloud Architect -Data and Analytics - Advisory - Mumbai