Data Architect

2 Months ago • All levels • Data Analysis

Job Summary

Job Description

The Data Architect role at Aeries Technology involves end-to-end thinking, mentoring, and collaboration with a global team. The role requires deep expertise in cloud-based data engineering, a strong problem-solving mindset, and the ability to collaborate with business and analytics teams. Responsibilities include driving performance optimization, cost efficiency, data governance, and model architecture to ensure scalable, secure, and high-performing data infrastructure. This also involves designing and developing scalable data models in Snowflake, performing data model reviews, and collaborating with Analytics & BI teams. You will also support code reviews and mentor team members, fostering a high-performing data engineering culture.
Must have:
  • Deep expertise in cloud-based data engineering.
  • Strong problem-solving mindset.
  • Experience with Snowflake data modeling.
  • Collaborate with Analytics & BI teams.

Job Details

About Us
Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees. Read about us at https://aeriestechnology.com
About Business Unit
Quickbase provides a cloud-based platform for creating business applications. The platform offers lowcode development, integration, and workflow orchestration. Quickbase also supports prototyping and application architecture
Roles and Responsibility

About the Role

 

We are looking for a Senior Data Engineer with an architect’s mindset and thought leadership approach on the Data & Analytics team. This role goes beyond development—it's about end-to-end thinking, mentoring and collaborating with a global team.

 

You will drive performance optimization, cost efficiency, data governance, and model architecture, ensuring that our data infrastructure is scalable, secure, and high-performing. 

This role requires deep expertise in cloud-based data engineering, a strong problem-solving mindset, and the ability to collaborate with business and analytics teams . You will work on optimizing compute resources, improving data quality, and enforcing governance standards , support code reviews, and mentor team members, fostering a high-performing data engineering culture.

Data Model Development & Architecture Review

Design and develop scalable, well-structured data models in Snowflake.

Perform data model reviews to ensure consistency, efficiency, and alignment with business needs.

Collaborate with Analytics & BI teams to define metrics layers and transformation logic in DBT.

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