Know ATS Score
CV/Résumé Score
  • Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: Snowflake Data Architect.
India Jobs Expertini

Urgent! Snowflake Data Architect Job Opening In India, India – Now Hiring PwC

Snowflake Data Architect



Job description

Snowflake Architect – Manager (10–15 Years)


Our Analytics & Insights Managed Services team brings a unique combination of industry expertise, technology, data management and managed‑services experience to create sustained outcomes for our clients and improve business performance.

We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions.

Have a voice at our table to help design, build, and operate the next generation of data and analytics solutions as an Associate.

Job Requirements and Preferences

Basic Qualifications

  • Minimum Degree Required:
  • Bachelor’s Degree in Statistics, Mathematics, Computer Science, Data Science, Economics, or a related quantitative field
  • Minimum Years of Experience:
  • 10–15 years of professional experience in analytics, data science, or business intelligence roles

Preferred Qualifications

  • Degree Preferred:
  • Master’s Degree in Engineering, Statistics, Data Science, Business Analytics, Economics, or related discipline
  • Preferred Fields of Study:
  • Data Analytics/Science, Statistics, Management Information Systems, Economics, Computer Science

Preferred Knowledge & Skills

As a Manager and Snowflake Architect, you’ll lead the design, implementation, and optimization of enterprise-scale data platforms on Snowflake.

You will architect data solutions leveraging Snowflake, Python/PySpark, and SQL, enabling scalable analytics and data-driven decision-making.

Collaborating with cloud engineers, data scientists, and business stakeholders, you’ll ensure high-performing, secure, and reliable data solutions across AWS, Azure, or GCP.

In addition to hands-on architecture, you will provide leadership to delivery teams, drive best practices, and mentor associates in building next-generation cloud data platforms.

Snowflake Data Architecture & Engineering

  • Lead design and implementation of Snowflake-based enterprise data platforms and analytics solutions
  • Architect data models, warehouses, data marts, and secure data sharing patterns in Snowflake
  • Optimize performance through clustering, partitioning, query tuning, and workload management
  • Define data governance, access control, and compliance policies in Snowflake environments

Programming & Data Engineering

  • Develop scalable data processing pipelines using Python and PySpark
  • Implement ETL/ELT frameworks integrating structured, semi-structured, and unstructured data
  • Leverage advanced SQL for data transformations, aggregations, and analytics workflows
  • Standardize reusable components and frameworks for data ingestion and transformation

Cloud Platforms & Integration

  • Architect and deploy data solutions on cloud platforms (AWS, Azure, GCP) with Snowflake as the core engine
  • Integrate Snowflake with cloud-native services (storage, security, compute, and orchestration)
  • Automate provisioning and configuration of data services using cloud-native or IaC tools
  • Ensure scalable, resilient, and cost-optimized architecture across multi-environment deployments

Streaming & Real-Time Data (Nice-to-Have)

  • Design and implement real-time or streaming data pipelines (Kafka, Kinesis, Event Hubs, Pub/Sub)
  • Integrate Snowflake with streaming platforms for low-latency ingestion and analytics
  • Define patterns for hybrid batch + streaming workloads

Security, Compliance & Monitoring

  • Ensure end-to-end data security with encryption, access policies, and secret management
  • Implement role-based access controls, audit trails, and data compliance practices (GDPR, HIPAA, SOX)
  • Establish monitoring and alerting frameworks for data pipelines and Snowflake workloads
  • Partner with governance teams to ensure enterprise standards and audit readiness

Leadership & Collaboration

  • Act as a technical leader guiding architects, engineers, and analysts in Snowflake best practices
  • Collaborate with product owners, business stakeholders, and data science teams to deliver solutions
  • Lead sprint planning, architecture reviews, and backlog refinement for data platform initiatives
  • Drive adoption of modern data engineering practices across agile squads

Documentation & Knowledge Sharing

  • Maintain architecture blueprints, technical documentation, and data flow diagrams
  • Create reusable playbooks, design patterns, and best practice guidelines for Snowflake adoption
  • Conduct knowledge-sharing sessions, peer reviews, and upskilling workshops for delivery teams

Soft Skills & Managerial Readiness

  • Strong problem-solving and analytical mindset with focus on scalability, cost efficiency, and reliability
  • Ability to communicate data architecture concepts to both technical and business stakeholders
  • Proven leadership skills with experience in mentoring, coaching, and team management
  • Ownership-driven mindset ensuring quality delivery, innovation, and stakeholder satisfaction


Required Skill Profession

Computer Occupations



Your Complete Job Search Toolkit

✨ Smart • Intelligent • Private • Secure

Start Using Our Tools

Join thousands of professionals who've advanced their careers with our platform

Rate or Report This Job
If you feel this job is inaccurate or spam kindly report to us using below form.
Please Note: This is NOT a job application form.


    Unlock Your Snowflake Data Potential: Insight & Career Growth Guide


  • Real-time Snowflake Data Jobs Trends in India, India (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Snowflake Data in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 152072 jobs in India and 10531 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Snowflake Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.

  • Are You Looking for Snowflake Data Architect Job?

    Great news! is currently hiring and seeking a Snowflake Data Architect to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

  • The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PwC adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:
    • 1. Independence
    • 2. Loyalty
    • 3. Impartiality
    • 4. Integrity
    • 5. Accountability
    • 6. Respect for human rights
    • 7. Obeying India laws and regulations
  • What Is the Average Salary Range for Snowflake Data Architect Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

  • What Are the Key Qualifications for Snowflake Data Architect?

    Key qualifications for Snowflake Data Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.

  • How Can I Improve My Chances of Getting Hired for Snowflake Data Architect?

    To improve your chances of getting hired for Snowflake Data Architect, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

  • Interview Tips for Snowflake Data Architect Job Success
    PwC interview tips for Snowflake Data Architect

    Here are some tips to help you prepare for and ace your job interview:

    Before the Interview:
    • Research: Learn about the PwC's mission, values, products, and the specific job requirements and get further information about
    • Other Openings
    • Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.
    • Dress Professionally: Choose attire appropriate for the company culture.
    • Prepare Questions: Show your interest by having thoughtful questions for the interviewer.
    • Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.
    During the Interview:
    • Be Punctual: Arrive on time to demonstrate professionalism and respect.
    • Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.
    • Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.
    • Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.
    • Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.
    • Follow Up: Send a thank-you email to the interviewer within 24 hours.
    Additional Tips:
    • Be Yourself: Let your personality shine through while maintaining professionalism.
    • Be Honest: Don't exaggerate your skills or experience.
    • Be Positive: Focus on your strengths and accomplishments.
    • Body Language: Maintain good posture, avoid fidgeting, and make eye contact.
    • Turn Off Phone: Avoid distractions during the interview.
    Final Thought:

    To prepare for your Snowflake Data Architect interview at PwC, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the PwC's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

  • How to Set Up Job Alerts for Snowflake Data Architect Positions

    Setting up job alerts for Snowflake Data Architect is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!