AWS Data Architect

ingrammicro; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

ingrammicro seeks an experienced AWS Data Architect to design, build, and manage scalable data platforms on AWS, enabling data-driven decisions for the business in Bengaluru. You will define architecture roadmaps, implement lakehouse and warehouse solutions, and lead data governance and security initiatives.

The role requires deep expertise in AWS services, data modeling, and ETL/ELT frameworks, with a focus on scalable, secure, and high-performance analytics platforms supporting growth and

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

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.
• 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.
• 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.
• 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.
• 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.
• 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.

Skills

Data Lakehouse Architecture

Data Warehousing

Data Modeling (Dimensional & DataVault

ETL/ELT Frameworks

Big Data Technologies

AWS Cloud-based data solutions

Data Governance

Data Integration

CI/CD for data platforms

Stakeholder Collaboration

Education

Bachelor's or Master's degree in Engineering or related field

Tools

AWS

Amazon S3

AWS Glue

AWS Lake Formation

Amazon Redshift

Amazon Athena

Amazon EMR

AWS Lambda

Amazon Kinesis

AWS IAM

Terraform

Databricks

Delta Lake

Apache Spark

Apache Iceberg

Apache Hudi

Snowflake

PostgreSQL

SQL Server

Oracle

MySQL

Job description

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 .

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

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

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.