Senior AWS Data Architect

7 hours ago

Multiple Locations, India MindBrain Full time ₹ 12,00,000 - ₹ 36,00,000 per year

Description : AWS Data Architect (with Databricks)

Experience : 8 Years

Location : Remote

Openings : 1

Job Overview :

We are seeking a Senior AWS Data Architect to lead a large-scale enterprise data modernization initiative.

The role will focus on designing and implementing a Lakehouse (Medallion) architecture that seamlessly integrates AWS, Databricks, Dremio, and Atlan to support advanced analytics, governance, and GenAI-driven workloads.

The ideal candidate will bring deep expertise in AWS data platforms, data modeling, and lakehouse delivery, with the ability to drive architectural decisions and ensure best practices across the data ecosystem.

Key Responsibilities :

- Lead the design and implementation of Lakehouse architecture (Bronze/Silver/Gold layers).

- Architect batch and streaming data ingestion pipelines using AWS Kinesis, DMS, and Glue.

- Oversee data curation and storage using Delta Lake / Iceberg formats, including data quality gates with Great Expectations.

- Enable enterprise analytics through Power BI integration via the Dremio semantic layer.

- Integrate SageMaker and Bedrock to support machine learning and RAG-based GenAI workloads.

- Establish governance frameworks with Lake Formation, Atlan, IAM, and KMS.

- Collaborate with cross-functional stakeholders to ensure scalable, secure, and cost-effective solutions.

Required Skills & Qualifications :

years of experience in data platforms, including 5 years on AWS with proven production lakehouse delivery.

- Deep expertise in AWS services : S3, Glue, Athena, Redshift, EMR, Kinesis, Lambda, Step Functions.

- Strong experience in data modeling (dimensional, Data Vault, star/snowflake) and data quality frameworks.

- Hands-on with Terraform/CloudFormation, CI/CD pipelines, and AWS Control Tower.

- Proficiency in SQL, Python, PySpark, and automation frameworks.

- Strong communication and leadership skills to guide teams and influence architecture decisions.

Nice-to-Have Skills :

- Hands-on experience with Databricks, SingleStore, or Denodo.

- Exposure to GenAI, RAG architectures, Bedrock, pgvector, or OpenSearch.

- AWS Certifications such as AWS Certified Solutions Architect Professional or AWS Certified Data Analytics Specialty.

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