AWS Data Architect

Overview

Lead the design and management of scalable enterprise data platforms on AWS, defining data architecture standards, data governance, and enabling advanced analytics and business intelligence across the organization.

What you'll do

• Define and implement the 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 Databricks, Delta Lake, Apache Iceberg, and 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.

What you'll need

• 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.
• Strong expertise in Enterprise Data Warehouse Design.
• Strong expertise in Data Modeling (Dimensional & Data Vault).
• Strong expertise in ETL/ELT Frameworks.
• Strong expertise in Big Data Technologies.
• Hands-on experience with SQL and Python.
• Strong understanding of cloud-native architecture principles.
• Required AWS skills: Amazon S3, AWS Glue, AWS Lake Formation, Amazon Redshift, Amazon Athena, Amazon EMR, AWS Lambda, Amazon Kinesis, AWS IAM, AWS CloudFormation/Terraform.
• Required database and warehousing skills: Snowflake, Amazon Redshift, PostgreSQL, SQL Server, Oracle, MySQL.
• Required big data and lakehouse skills: Databricks, Delta Lake, Apache Spark, Apache Iceberg, Apache Hudi.

Nice to have

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

Details

• Location: Bengaluru, India.