Job Description

We are looking for a versatile Data Architect with a solid background in designing and implementing enterprise-grade data platforms and cloud-native solutions. The role combines architecture leadership with hands-on implementation, with a focus on scalable data foundations, integration patterns, governance, analytics enablement, and up-to-date AWS services.

Azure and Databricks experience will be an added advantage.
Key Responsibilities
Design and own end-to-end data architecture across ingestion, storage, transformation, serving layers, APIs, and cloud services.
Define and enforce architectural standards, data modeling practices, integration patterns, and reusable platform conventions.
Lead technical design sessions and guide development teams through implementation, code reviews, and solution reviews.
Design and implement cloud-native data platforms on AWS, leveraging services such as:
Amazon S3
AWS Glue
AWS Lake Formation
Amazon Athena
Amazon Redshift
AWS Lambda
AWS Step Functions
AWS IAM
AWS KMS
Amazon CloudWatch




Amazon EventBridge
Collaborate with analytics and data science teams to develop curated and trusted datasets for reporting, simulation, and advanced analytics.
Oversee data governance, security, data quality, lineage, observability, and operational controls across the data lifecycle.
Conduct architecture reviews to ensure solutions are scalable, performant, secure, and cost-effective.
Translate business and technical requirements into architectural blueprints, reference implementations, and implementation guidelines.
Partner with Product Managers, Business Analysts, UX Designers, Engineers, and Cloud teams to align technical solutions with business outcomes.

Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
12+ years of overall experience in Data Architecture, Data Engineering, or Solution Architecture, with at least 6 years of

📌 Senior Manager Bengaluru (India)
🏢 Course5
📍 India