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Senior Architect - Data

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and architect scalable data solutions on AWS services

  • Design and implement data lakes, warehouses, and master data management

  • Oversee data engineering projects from inception to completion

  • Conduct proof-of-concept projects for data processing and integration

  • Guide and mentor engineers, including code reviews

From the employer’s posting
Design and architect scalable and robust data solutions using AWS services.
Design and implement data lakes, cloud data warehouses, master data management solutions
Oversee the implementation of data engineering projects from inception to completion.
Conduct proof-of-concept projects to explore strategic opportunities
Guide and mentor engineers, actively participating in code reviews
Education & alternatives
Must Have : Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech /M.Tech) ● At least 10+ end-to-end implementations of large-scale data projects ● Deep expertise in AWS services and Data Engineering field, with experience working with leading large scale enterprises migration. ● Proven track record in selling, delivering, and managing AI, data analytics, and AWS cloud solutions across North America and EU region ● Extensive experience with a variety of projects, including on-premises to AWS ● migration,modernization, greenfield implementations and cloud-to-cloud migrations. ● Strong understanding of AWS architecture and best practices for data engineering. ● Exceptional executive-level engagement skills with the ability to build and maintain trusted relationships. What’s in it for you? 1. Be part of the fastest-growing AI-first digital transformation and engineering company in the world 2. Be a leader of an energetic team of highly dynamic and talented individuals 3. Exposure to working with fortune 500 companies and innovative market disruptors 4. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Tools in this posting

  • AWS
Source — Tool mentions in context
Role : Senior Architect Experience : 10 - 14 Years + Work location : Mumbai We are seeking a highly skilled and experienced Technical Leader for our Migration and Modernization practice. The ideal candidate will be responsible for driving large migration and modernization strategy for the practice, architecting scalable enterprise level solutions and driving the implementation of projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices. In this role, you will be responsible for contributing and enhancing to the Migration and Modernization Practice and your responsibilities involve working closely with potential customers to understand their business needs and requirements to design and propose migration proposals that leverage AWS cloud services.
We are seeking a highly skilled and experienced Technical Leader for our Migration and Modernization practice. The ideal candidate will be responsible for driving large migration and modernization strategy for the practice, architecting scalable enterprise level solutions and driving the implementation of projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices. In this role, you will be responsible for contributing and enhancing to the Migration and Modernization Practice and your responsibilities involve working closely with potential customers to understand their business needs and requirements to design and propose migration proposals that leverage AWS cloud services. Responsibilities: Technical Leadership ● Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements. ● Conduct proof-of-concept projects to explore strategic opportunities and future-oriented data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment. ● Make informed architectural decisions with the customer's needs and priorities at the forefront. ● Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality. ● Collaborate closely with the sales/pre-sales/solution team to develop proposals and strategies that align with and meet the company's performance objectives. ● Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice. ● Design and implement data lakes, cloud data warehouses, master data management solutions, data models, and data quality assessments as part of the data engineering scope. ● Lead the development and management of data infrastructure, including tools, dashboards, queries, reports, and scripts, ensuring automation of recurring tasks while maintaining data quality and integrity.
Architecture and Design ● Design and architect scalable and robust data solutions using AWS services. ● Ensure data architecture aligns with business requirements and best practices. ● Evaluate and select appropriate AWS services for data storage, processing, and analytics. Project Implementation ● Oversee the implementation of data engineering projects from inception to completion. ● Engage in strategic discussions with customers and offer thought leadership to guide their decisions. ● Ensure data quality, integrity, and security throughout the data lifecycle. Technical Innovation: ● Stay updated with the latest trends and advancements in data engineering and AWS technologies. ● Drive continuous improvement initiatives to enhance data engineering practices and processes. ● Experiment with new tools and technologies to improve data processing efficiency and effectiveness.
● Design and architect scalable and robust data solutions using AWS services. ● Ensure data architecture aligns with business requirements and best practices. ● Evaluate and select appropriate AWS services for data storage, processing, and analytics. Project Implementation ● Oversee the implementation of data engineering projects from inception to completion. ● Engage in strategic discussions with customers and offer thought leadership to guide their decisions. ● Ensure data quality, integrity, and security throughout the data lifecycle. Technical Innovation: ● Stay updated with the latest trends and advancements in data engineering and AWS technologies. ● Drive continuous improvement initiatives to enhance data engineering practices and processes. ● Experiment with new tools and technologies to improve data processing efficiency and effectiveness. Must Have :
Must Have : Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech /M.Tech) ● At least 10+ end-to-end implementations of large-scale data projects ● Deep expertise in AWS services and Data Engineering field, with experience working with leading large scale enterprises migration. ● Proven track record in selling, delivering, and managing AI, data analytics, and AWS cloud solutions across North America and EU region ● Extensive experience with a variety of projects, including on-premises to AWS ● migration,modernization, greenfield implementations and cloud-to-cloud migrations. ● Strong understanding of AWS architecture and best practices for data engineering. ● Exceptional executive-level engagement skills with the ability to build and maintain trusted relationships. What’s in it for you? 1. Be part of the fastest-growing AI-first digital transformation and engineering company in the world 2. Be a leader of an energetic team of highly dynamic and talented individuals 3. Exposure to working with fortune 500 companies and innovative market disruptors 4. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

Posting record

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Open 6 monthsWe first saw this posting 180 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
May 8, 2026180 days ago
Recorded sightings
228
Last seen by us
Nov 4, 2026
Employer says posted
Feb 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 180

Up longer than most. Similar jobs usually come down between day 7 and day 53.

From 7,804 similar postings that came down. Coming down is not always a hire.

Quantiphi is hiring

30 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

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Has Quantiphi posted this job before?

Yes. We’ve followed one other Senior Architect - Data job there since May 2026. It is still up.

  1. Place not statedStill up after 181 days, first seen May 8
  2. This jobUp 181 days so far, first seen May 8

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role : Senior Architect
Experience : 10 - 14 Years +
Work location : Mumbai


We are seeking a highly skilled and experienced Technical Leader for our Migration and Modernization practice. The ideal candidate will be responsible for driving large migration and modernization strategy for the practice, architecting scalable enterprise level solutions and driving the implementation of projects on AWS. This role requires a deep understanding of AWS services and data engineering best practices.


In this role, you will be responsible for contributing and enhancing to the Migration and Modernization Practice and your responsibilities involve working closely with potential customers to understand their business needs and requirements to design and propose migration proposals that leverage AWS cloud services.

Responsibilities:
Technical Leadership
● Act as a visionary leader capable of steering, motivating, and driving exceptional performance in data engagements.
● Conduct proof-of-concept projects to explore strategic opportunities and
future-oriented data processing and integration capabilities, aiming to recommend scalable, flexible, and sustainable solutions that offer a high return on investment.
● Make informed architectural decisions with the customer's needs and priorities at the forefront.
● Guide and mentor engineers, actively participating in code reviews to ensure high standards of code quality.
● Collaborate closely with the sales/pre-sales/solution team to develop proposals and strategies that align with and meet the company's performance objectives.
● Partner with the marketing team to create collateral and assist recruitment teams in identifying and attracting the right talent to expand the practice.
● Design and implement data lakes, cloud data warehouses, master data management solutions, data models, and data quality assessments as part of the data engineering
scope.
● Lead the development and management of data infrastructure, including tools, dashboards, queries, reports, and scripts, ensuring automation of recurring tasks while maintaining data quality and integrity.

Architecture and Design

● Design and architect scalable and robust data solutions using AWS services.
● Ensure data architecture aligns with business requirements and best practices.
● Evaluate and select appropriate AWS services for data storage, processing, and analytics.


Project Implementation
● Oversee the implementation of data engineering projects from inception to completion.
● Engage in strategic discussions with customers and offer thought leadership to guide their decisions.
● Ensure data quality, integrity, and security throughout the data lifecycle.
Technical Innovation:
● Stay updated with the latest trends and advancements in data engineering and AWS technologies.
● Drive continuous improvement initiatives to enhance data engineering practices and processes.
● Experiment with new tools and technologies to improve data processing efficiency and effectiveness.

Must Have :

Bachelor's or Master's degree in Engineering or Technology (B.E. / M.E. / B.Tech /M.Tech)
● At least 10+ end-to-end implementations of large-scale data projects
● Deep expertise in AWS services and Data Engineering field, with experience working with leading large scale enterprises migration.
● Proven track record in selling, delivering, and managing AI, data analytics, and AWS cloud solutions across North America and EU region
● Extensive experience with a variety of projects, including on-premises to AWS
● migration,modernization, greenfield implementations and cloud-to-cloud
migrations.
● Strong understanding of AWS architecture and best practices for data engineering.
● Exceptional executive-level engagement skills with the ability to build and maintain trusted relationships.

What’s in it for you?
1. Be part of the fastest-growing AI-first digital transformation and engineering
company in the world
2. Be a leader of an energetic team of highly dynamic and talented individuals
3. Exposure to working with fortune 500 companies and innovative market disruptors
4. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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IN KA Bengaluru

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