Architect - Data

Posted 12 Days Ago
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3 Locations
In-Office
Expert/Leader
Artificial Intelligence • Big Data • Machine Learning
The Role
Lead architecture and design of cloud data analytics solutions on AWS. Advise customers, run discovery/design workshops, support sales and proposals, guide migrations/modernizations, build ETL/API/SQL solutions, and collaborate with partners for productization and thought leadership.
Summary Generated by Built In

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: Architect - Data
Experience Level: 10+ Years
Work location: Mumbai/Bangalore/Trivandrum

Responsibilities

● Be a trusted technical advisor to customers and solutions for complex Cloud & Data related technical challenges.
● Be a thought leader in architecture design and development of cloud data
analytics solutions.
● Liaison with internal and external stakeholders to design optimized data analytics solutions on AWS cloud.
● Partner with SMEs and Solutions Architects from leading cloud providers to present solutions to customers.
● Support Quantiphi Sales and GTM teams from a technical perspective in building proposals and SOWs.
● Lead discovery and design workshops with potential customers across the globe.
● Design and deliver thought leadership webinars and tech talks alongside
customers and partners.
● Identify areas for productization and feature enhancement for Quantiphi’s product assets.

Technical Qualifications

● Experience in designing, deploying, and operating highly available, scalable, secure, and fault-tolerant systems using Amazon Web Services (AWS) products like DMS, SCT Redshift, Lambda, Glue, S3, EMR, Kinesis.
● Strong experience in Data Migration using DMS and SCT services of AWS.
● Strong Experience in migration and modernization of databases and data
warehouses on AWS cloud.
● Good understanding of traditional databases and data warehouses like Oracle, Teradata, and Netezza.
● Experience in developing ETL solutions using SSIS/Talend/Informatica.
● Experience with Back-end engineering /API development using Python etc.

● Strong knowledge in OLTP/OLAP Systems, Dimensional Strategies - Star Schema, Snowflake Schema, and Ralph Kimball Methodology.
● Ability to integrate 3rd party API programmatically. Ability to access AWS
programmatically via its API.

● Write SQL code - Queries/Stored Procedures/Functions.

● Previous experience in working with distributed architectures like Hadoop,
Map-reduce, etc.
● Understanding of DevOps best practices with CICD, Infrastructure as Code, etc.

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

Skills Required

  • 10+ years experience in data architecture/engineering
  • Designing, deploying, and operating HA, scalable systems using AWS (DMS, SCT, Redshift, Lambda, Glue, S3, EMR, Kinesis)
  • Strong experience in data migration using AWS DMS and SCT
  • Experience in migration and modernization of databases and data warehouses on AWS
  • Good understanding of Oracle, Teradata, and Netezza
  • Experience developing ETL solutions using SSIS, Talend, or Informatica
  • Back-end engineering / API development experience using Python
  • Strong knowledge of OLTP/OLAP systems, dimensional modeling (Star, Snowflake), and Ralph Kimball methodology
  • Ability to integrate third-party APIs programmatically and access AWS via API
  • Proficient SQL: queries, stored procedures, functions
  • Experience with distributed architectures such as Hadoop and MapReduce
  • Understanding of DevOps best practices including CI/CD and Infrastructure as Code

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

Quantiphi Insights

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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