Ingrammicro

AWS Data Architect

Bengaluru, India

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

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What you’ll work on

Full posting

We are seeking an experienced AWS Data Architect to design, build, and manage scalable enterprise data platforms leveraging AWS cloud technologies.

Design scalable Data Lakehouse and Data Warehouse solutions on AWS
Define data architecture standards, modeling practices and governance frameworks
Create scalable ETL/ELT frameworks for analytics and reporting
Lead cloud migration from legacy on-premise platforms to AWS
Integrate ERP, CRM, eCommerce, supply chain, finance and third-party systems

From the employer’s posting

We are seeking an experienced AWS Data Architect to design, build, and manage scalable enterprise data platforms leveraging AWS cloud technologies. The ideal candidate will possess extensive expertise in Data Lakehouse architectures, Data Warehousing, Data Engineering, Big Data technologies, and Cloud Data Migration. This role will be responsible for defining data architecture standards, ensuring data governance, and enabling advanced analytics and business intelligence across the organization.

Design scalable Data Lakehouse and Data Warehouse solutions on AWS.

Establish data modeling standards, architecture frameworks, and best practices.

Create scalable ETL/ELT frameworks to support analytics and reporting requirements.

Lead cloud migration initiatives from legacy on-premise platforms to AWS.

Integrate ERP, CRM, eCommerce, supply chain, finance, and third-party systems.

What you’ll bring

All qualifications

Core experience

Bachelor's or master's degree in engineering or related field
Hands-on SQL and Python
Data lakehouse, warehouse and dimensional/Data Vault modeling expertise

Qualification wording

Bachelor's or master's degree in engineering, or related field.

Hands-on experience with SQL and Python.

Data Modeling (Dimensional & Data Vault)

Tools in this posting

Python
SQL
AWS
Databricks
Delta Lake
Iceberg
MySQL
Oracle
PostgreSQL
Redshift
S3
Snowflake
Spark
SQL Server
Terraform

Source

- Big Data Technologies - Hands-on experience with SQL and Python. - Strong understanding of cloud-native architecture principles.

- PostgreSQL - SQL Server - Oracle

Position Summary: We are seeking an experienced AWS Data Architect to design, build, and manage scalable enterprise data platforms leveraging AWS cloud technologies. The ideal candidate will possess extensive expertise in Data Lakehouse architectures, Data Warehousing, Data Engineering, Big Data technologies, and Cloud Data Migration. This role will be responsible for defining data architecture standards, ensuring data governance, and enabling advanced analytics and business intelligence across the organization. Key Responsibilities

- Define and implement enterprise data architecture roadmap aligned with business objectives. - Design scalable Data Lakehouse and Data Warehouse solutions on AWS. - Establish data modeling standards, architecture frameworks, and best practices.

- Collaborate with business stakeholders, analytics teams, and IT leadership to deliver data-driven solutions. AWS Data Platform Design - Architect end-to-end data solutions using AWS services

AWS Data Platform Design - Architect end-to-end data solutions using AWS services - Design secure and high-performing cloud-native data platforms.

- Design and oversee enterprise data pipelines. - Lead cloud migration initiatives from legacy on-premise platforms to AWS. - Integrate ERP, CRM, eCommerce, supply chain, finance, and third-party systems.

- 10+ years of experience in Data Architecture, Data Engineering, or Data Platform Management. - 5+ years of experience in AWS cloud-based data solutions. - Strong expertise in:- Data Lakehouse Architecture

Required Technical Skills AWS - Amazon S3

- Amazon S3 - AWS Glue - AWS Lake Formation

- AWS Glue - AWS Lake Formation - Amazon Redshift

- Amazon EMR - AWS Lambda - Amazon Kinesis

- Amazon Kinesis - AWS IAM - AWS CloudFormation/Terraform

- AWS IAM - AWS CloudFormation/Terraform Databases & Warehousing

Preferred Certifications - AWS Certified Solutions Architect – Professional - AWS Certified Data Engineer – Associate

- AWS Certified Solutions Architect – Professional - AWS Certified Data Engineer – Associate - AWS Certified Data Analytics – Specialty

- AWS Certified Data Engineer – Associate - AWS Certified Data Analytics – Specialty - Databricks Certified Data Engineer

- Snowflake Certification Ideal Candidate: An AWS Data Architect who can lead data modernization initiatives, drive Data Lakehouse adoption, and deliver scalable, secure, and high-performance analytics platforms supporting business growth and digital transformation.

Data Lakehouse & Data Warehouse - Implement modern Lakehouse architectures using technologies such as:- Databricks - Delta Lake

Big Data & Lakehouse - Databricks - Delta Lake

- AWS Certified Data Analytics – Specialty - Databricks Certified Data Engineer - Snowflake Certification

- Implement modern Lakehouse architectures using technologies such as:- Databricks - Delta Lake - Apache Iceberg

- Databricks - Delta Lake - Apache Spark

- Delta Lake - Apache Iceberg - Apache Hudi

- Apache Spark - Apache Iceberg - Apache Hudi

- Oracle - MySQL Big Data & Lakehouse

- SQL Server - Oracle - MySQL

- Amazon Redshift - PostgreSQL - SQL Server

- AWS Lake Formation - Amazon Redshift - Amazon Athena

- Snowflake - Amazon Redshift - PostgreSQL

AWS - Amazon S3 - AWS Glue

Databases & Warehousing - Snowflake - Amazon Redshift

- Databricks Certified Data Engineer - Snowflake Certification Ideal Candidate: An AWS Data Architect who can lead data modernization initiatives, drive Data Lakehouse adoption, and deliver scalable, secure, and high-performance analytics platforms supporting business growth and digital transformation.

- Delta Lake - Apache Spark - Apache Iceberg

Posting record

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Actively hiringFirst seen by us 11 days ago, still listed, and not a repost of an earlier listing.

Status in our records: Live
First seen by us: Oct 14, 2026 · 11 days ago
Recorded sightings: 37
Last seen by us: Oct 25, 2026

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

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Job description

View original posting ↗

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description:

Position Summary:

We are seeking an experienced AWS Data Architect to design, build, and manage scalable enterprise data platforms leveraging AWS cloud technologies. The ideal candidate will possess extensive expertise in Data Lakehouse architectures, Data Warehousing, Data Engineering, Big Data technologies, and Cloud Data Migration. This role will be responsible for defining data architecture standards, ensuring data governance, and enabling advanced analytics and business intelligence across the organization.

Key Responsibilities

Data Architecture & Strategy

Define and implement enterprise data architecture roadmap aligned with business objectives.
Design scalable Data Lakehouse and Data Warehouse solutions on AWS.
Establish data modeling standards, architecture frameworks, and best practices.
Develop data integration strategies for structured, semi-structured, and unstructured datasets.
Collaborate with business stakeholders, analytics teams, and IT leadership to deliver data-driven solutions.

AWS Data Platform Design

Architect end-to-end data solutions using AWS services
Design secure and high-performing cloud-native data platforms.
Optimize data storage, data processing, and query performance.

Data Lakehouse & Data Warehouse

Implement modern Lakehouse architectures using technologies such as:
- Databricks
- Delta Lake
- Apache Iceberg
- Apache Hudi
Design dimensional and enterprise data warehouse models.
Create scalable ETL/ELT frameworks to support analytics and reporting requirements.
Enable real-time and batch data processing capabilities.

Data Governance & Security

Implement data governance, metadata management, lineage, and data quality frameworks.
Ensure compliance with security and regulatory requirements.
Define role-based access controls and data protection strategies.
Partner with cybersecurity teams to maintain data security standards.

Data Integration & Engineering

Design and oversee enterprise data pipelines.
Lead cloud migration initiatives from legacy on-premise platforms to AWS.
Integrate ERP, CRM, eCommerce, supply chain, finance, and third-party systems.
Drive automation and CI/CD practices for data platform deployments.

Required Qualifications

Bachelor's or master's degree in engineering, or related field.
10+ years of experience in Data Architecture, Data Engineering, or Data Platform Management.
5+ years of experience in AWS cloud-based data solutions.
Strong expertise in:
- Data Lakehouse Architecture
- Enterprise Data Warehouse Design
- Data Modeling (Dimensional & Data Vault)
- ETL/ELT Frameworks
- Big Data Technologies
Hands-on experience with SQL and Python.
Strong understanding of cloud-native architecture principles.

Required Technical Skills

AWS

Amazon S3
AWS Glue
AWS Lake Formation
Amazon Redshift
Amazon Athena
Amazon EMR
AWS Lambda
Amazon Kinesis
AWS IAM
AWS CloudFormation/Terraform

Databases & Warehousing

Snowflake
Amazon Redshift
PostgreSQL
SQL Server
Oracle
MySQL

Big Data & Lakehouse

Databricks
Delta Lake
Apache Spark
Apache Iceberg
Apache Hudi

Preferred Certifications

AWS Certified Solutions Architect – Professional
AWS Certified Data Engineer – Associate
AWS Certified Data Analytics – Specialty
Databricks Certified Data Engineer
Snowflake Certification

Ideal Candidate: An AWS Data Architect who can lead data modernization initiatives, drive Data Lakehouse adoption, and deliver scalable, secure, and high-performance analytics platforms supporting business growth and digital transformation.

Source details

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