AWS Data Architect

Location: Bengaluru, India

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

Position Summary

WeareseekinganexperiencedAWSDataArchitecttodesign,build,andmanagescalableenterprisedataplatformsleveragingAWScloudtechnologies.TheidealcandidatewillpossessextensiveexpertiseinDataLakehousearchitectures,DataWarehousing,DataEngineering,BigDatatechnologies,andCloudDataMigration.Thisrolewillberesponsiblefordefiningdataarchitecturestandards,ensuringdatagovernance,andenablingadvancedanalyticsandbusinessintelligenceacrosstheorganization.

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

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 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.