Data Architect - Databricks/AWS

Description :We are looking for an experienced Data Architect to lead enterprise-scale data platform modernization initiatives across Databricks, AWS, and Snowflake ecosystems. The ideal candidate will architect scalable, secure, and AI-ready data platforms supporting analytics, machine learning, and enterprise intelligence.Key Responsibilities :- Lead enterprise-scale implementation of modern data warehouse and lakehouse platforms on Databricks and Snowflake environments.- Design and implement Medallion (Bronze/Silver/Gold) architecture and scalable enterprise data models.- Establish and enforce enterprise data modeling standards including Dimensional Modeling, Data Vault, and Lakehouse patterns.- Define and implement data governance frameworks covering cataloging, lineage, stewardship, metadata management, and compliance using Atlan.- Build and implement CI/CD pipelines for infrastructure provisioning, automated deployments, and data platform management.- Design architectures supporting AI/ML and Generative AI workloads, including feature stores, vector storage, and secure data access frameworks.- Build scalable ingestion frameworks supporting batch, streaming, and CDC pipelines.- Architect secure, high-performance integration layers for analytics, BI, reporting, and AI consumption.- Develop target-state architecture blueprints and enforce enterprise standards, governance, and platform best practices.- Collaborate with engineering, analytics, and data science teams to ensure platform scalability and alignment.- Engage with clients as a trusted advisor, driving data strategy, roadmap planning, architecture consulting, and business growth opportunities.Ideal Candidate Profile :- 8+ years of experience in Data Architecture / Data Engineering with strong exposure to enterprise-scale data modernization programs.- Minimum 3+ years of deep hands-on experience in Databricks-based lakehouse architecture on AWS and large-scale platform implementations.- Strong expertise across the Databricks ecosystem, including Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables (DLT), MLflow, performance optimization, and platform security.- Strong hands-on experience with AWS data services including S3, Glue, EMR, Lambda, Redshift, Athena, Lake Formation, and DMS.- Proven expertise in Medallion Architecture, scalable data modeling (Dimensional/Data Vault), and enterprise lakehouse platforms supporting batch and real-time processing.- Hands-on experience building scalable ingestion frameworks using Kafka, Kinesis, Spark, or similar technologies.- Strong experience implementing CI/CD pipelines, Infrastructure as Code (IaC), automated deployments, and environment management for data platforms.- Hands-on exposure enabling platforms for AI/ML and Generative AI use cases, including feature stores, vector storage, and secure data access patterns.- Experience with orchestration tools such as Apache Airflow or MWAA and designing integration layers for analytics, BI, and AI workloads.- Experience from Product Companies will be preferred.- AWS / Databricks / Snowflake certifications are an advantage.- Exposure to Snowflake environments, MDM, data quality frameworks, and enterprise metadata tools is preferred. (ref:hirist.tech)