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AWS Data Architect Job Opening In India, India – Now Hiring Tiger Analytics


Job description

AWS Architect

Location : Chennai/ Bangalore / Hyderabad


Who we are

Tiger Analytics is a global leader in Data, AI, and Analytics, helping Fortune 500 companies solve their most complex business challenges.

We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale.

We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively.

Our purpose is to provide certainty to shape a better tomorrow.

Our team of 5000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare.

Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.


In recognition of its exceptional workplace culture, industry impact, and leadership in AI strategy, Tiger Analytics has received multiple prestigious accolades in 2025, including the 3AI Pinnacle Award, India's Best Workplaces (2024-2025), WOW Workplaces of 2025, and the Leading GenAI Service Provider title at the GenAI Conclave 2025.

The firm was also celebrated as a High-Performance Culture Curator at Darwin Unboxed 2025 and honored with the Minsky Award for Excellence in AI Strategy Consulting.


Job Description


  • As an Architect(Cloud), you will analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in Aws.
  • Analyze, architect, design, and actively develop cloud data warehouses, data lakes, and other cloud-based data solutions in AWS.
  • AWS experts with strong experience in working with modern data integration frameworks, big data, and DevOps, and is proficient with data programming languages (e.G. Python, SQL).
  • Design and develop scalable data ingestion frameworks to transform a variety of datasets.
  • Solid knowledge in EMR, RedShift, SageMaker, and other Paas offerings from AWS.
  • Innovate cloud-native data solutions such as database structures and functional capabilities, security, back-up, and recovery specifications, etc.
  • Build and maintain data integration utilities, data scheduling, and monitoring capabilities, and source-to-target mappings and data lineage trees.
  • Implement and manage production management processes around data ingestion, transformation, coding utilities, storage, reporting, and other data integration points.
  • Lead technical teams to deliver projects and accomplish business and IT objectives.


Skills and Qualifications:

  • 8+ years of data engineering and/or data warehousing experience.
  • 4+ years of deep experience in building AWS data solutions using services such as storage, virtual machines, serverless technologies, parallel processing technologies, auto-scaling etc.
  • Background in data with experience in architecture, data modeling, data engineering, and data governance using all different types of databases.
  • Working knowledge of agile development including DevOps concepts
  • Experience with AWS SDKs and programmatic access services
  • Proficient in a relevant data/development language for cloud platforms (e.G. R, Python, Java, C#/Unix)
  • Proficient in SQL
  • Cloud certifications are a plus.


You are important to us, let’s stay connected!

Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today we urge you to apply as there might be a suitable/unique role for you tomorrow.

We are an equal- opportunity employer.

Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire, packages are among the best in industry.


Note: The designation will be commensurate with expertise and experience.

Compensation packages are among the best in the industry.

Additional Benefits: Health insurance (self & family),virtual wellness platform, Car Lease Program and knowledge communities.

Required Skill Profession

Computer Occupations


  • Job Details

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Are You Looking for AWS Data Architect Job?

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

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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 Tiger Analytics adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for AWS 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 AWS Data Architect?

Key qualifications for AWS Data Architect typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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To improve your chances of getting hired for AWS 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 AWS Data Architect Job Success

Tiger Analytics interview tips for AWS Data Architect

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

Before the Interview:

Research: Learn about the Tiger Analytics'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.

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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 AWS Data Architect interview at Tiger Analytics, 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 Tiger Analytics'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!

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