AWS Solution Architect | MNC | PAN India | Hybrid

Job Title: Principal AWS Solution Architect Data AnalyticsExperience: 12–18 Years
Location: Pan India (Hybrid)
Employment Type: Full-time

Role Summary

We are seeking an experienced Principal AWS Solution Architect – Data Analytics to lead the architecture, design, and modernization of enterprise-scale data platforms on AWS. The ideal candidate will define the organization’s data platform strategy, establish architecture standards, and provide technical leadership for scalable, secure, and cost-effective analytics solutions.This role requires deep expertise in AWS data services, modern data lake/lakehouse architectures, streaming analytics, and cloud governance while collaborating with business and technology stakeholders to deliver strategic data initiatives.

Key Responsibilities

• Define and drive the enterprise data analytics architecture roadmap on AWS.
• Design scalable Data Lake and Lakehouse architectures using Amazon S3, AWS Glue, AWS Lake Formation, Amazon Athena, Amazon Redshift, and Amazon EMR.
• Architect batch and real-time data processing solutions using AWS Glue, Apache Spark, Amazon Kinesis, and Amazon MSK (Kafka).
• Design and optimize ETL/ELT workflows using Apache Airflow and AWS MWAA.
• Establish architecture standards, governance frameworks, and best practices for enterprise data platforms.
• Implement secure data access using IAM, AWS KMS, Lake Formation, and cross-account architecture patterns.
• Build scalable metadata management, data cataloging, lineage, and data governance solutions.
• Optimize platform performance, reliability, scalability, and cloud costs by applying AWS Well-Architected Framework and FinOps principles.
• Lead architecture reviews, mentor engineering teams, and provide technical guidance across multiple projects.
• Collaborate with business, security, product, and leadership teams to translate business requirements into enterprise data solutions.
• Drive Infrastructure as Code (Terraform, CloudFormation, or AWS CDK) adoption for cloud infrastructure automation.

Required Skills

• 12–18 years of IT experience with at least 8 years of AWS Data Analytics architecture experience.

• Strong expertise in AWS Data Analytics services:

• Amazon S3
• AWS Glue
• AWS Lake Formation
• Amazon Athena
• Amazon Redshift
• Amazon EMR

• Amazon Kinesis / Amazon MSK

• Hands-on experience with Apache Airflow and AWS MWAA.
• Strong understanding of modern Data Lake and Lakehouse architectures.
• Experience with distributed data processing using Apache Spark.
• Strong knowledge of SQL and Python (Scala or Java is an added advantage).
• Experience with Infrastructure as Code using Terraform, CloudFormation, or AWS CDK.
• Strong understanding of data governance, metadata management, security, and compliance.
• Excellent communication, stakeholder management, and architectural leadership skills.

Preferred Skills

• Experience with Apache Iceberg, Apache Hudi, or Delta Lake.
• Experience with dbt and modern ELT frameworks.
• Knowledge of Data Vault, Dimensional Modeling, and Data Mesh concepts.
• AWS Certified Solutions Architect – Professional.
• AWS Certified Data Analytics – Specialty.

Mandatory Skills

• AWS Data Analytics
• Amazon S3
• Amazon Athena
• AWS Glue
• Apache Airflow
• AWS MWAA
• Amazon Redshift
• Amazon EMR
• AWS Lake Formation
• Amazon Kinesis / MSK
• Python
• SQL
• Terraform / CloudFormation / AWS CDK

Preferred Certifications

• AWS Certified Solutions Architect – Professional
• AWS Certified Data Analytics – Specialty