AWS Data Architect

Ingram Micro; Bengaluru; On-site; INR 4,800,000 - 7,800,000; Full time

Job summary

Ingram Micro in Bengaluru seeks an experienced AWS Data Architect to design, build, and manage scalable data platforms on AWS, focusing on Data Lakehouse, data warehousing, and governance. You will define standards, enable analytics, and drive data modernization across the organization.

The role includes data modeling, data integration, security, and collaboration with analytics and IT leadership to deliver data-driven business solutions.

Qualifications

• Bachelor's or master's degree in engineering or related field is required.
• 10+ years 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 and Enterprise Data Warehouse Design.
• Experience with Data Modeling (Dimensional & Data Vault) and ETL/ELT frameworks.
• Hands-on SQL and Python experience; cloud-native architecture knowledge.

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 data.
• Collaborate with stakeholders to deliver data-driven solutions.
• Lead cloud migration initiatives to AWS and integrate ERP/CRM systems.
• Enable real-time and batch data processing and analytics.

Skills

Data governance

Leadership

Communication

Education

Bachelor's or Master's in Engineering

Tools

Databricks

Delta Lake

Apache Iceberg

Apache Hudi

AWS S3

AWS Glue

AWS Lake Formation

Amazon Redshift

Amazon Athena

Amazon EMR

AWS Lambda

Kinesis

IAM

Snowflake

PostgreSQL

Oracle

MySQL

Spark

Apache Spark

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

• 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.

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.