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# AWS Databricks Architect

- **Company:** HMG America
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Amazon S3, Data Analysis, Cluster Analysis, Information Technology Consulting, Continuous Integration, Data Architecture, Data Warehousing, DevOps, Apache Hadoop, High-Level Architecture, Identity and Access Management, Migration Manager, Teradata SQL, Autoscaling, Netezza, Snowflake, Apache Spark, Cloudformation, Data Lakes, Infrastructure Automation Frameworks, AWS Data Analytics, Data Management, Terraform, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/e135a0e9-43e7-486a-9e6f-2840081e2f76

## About the Role

The ideal candidate possesses exceptional client engagement abilities, deep hands-on expertise with the Databricks Medallion Architecture and Unity Catalog, and proven experience migrating legacy data warehouses to modern AWS data ecosystems.

## Description

We are seeking a senior AWS Databricks Architect with a strong background in IT consulting and professional services to lead end-to-end cloud data enterprise initiatives. In this role, you will act as a trusted technical advisor to client stakeholders while leading the architecture, design, and execution of scalable Lakehouse platforms on AWS using Databricks., 1. Solution Architecture & Technical Delivery

 * Architect, design, and implement scalable, enterprise-grade data platforms on AWS using Databricks Lakehouse.
 * Establish data architecture patterns using the Medallion Architecture (Bronze, Silver, Gold layers) for real-time and batch data pipelines.
 * Implement robust governance, security, and access control models across datasets using Databricks Unity Catalog, AWS IAM, and KMS.
 * Optimize workspace configurations, cluster sizing, auto-scaling, and Delta Lake optimizations (Z-Ordering, Liquid Clustering) for high performance and cost efficiency.
 * Integrate AWS-native services (S3, Glue, Lambda, EventBridge, Redshift, Athena, Secrets Manager) seamlessly with Databricks.

 2. Client Engagement & Advisory (Consulting)
 * Lead discovery workshops, technical assessments, and architecture reviews with C-level executives, VPs of Data, and Enterprise Architects.
 * Translate complex business requirements into high-level architecture diagrams, technical roadmaps, and Statements of Work (SOWs).
 * Educate clients on cloud data best practices, cost-optimization strategies, and modern Lakehouse paradigms.
 * Drive client migration strategy from legacy data warehouses (e.g., Teradata, Netezza, Snowflake, On-Prem Hadoop) to AWS Databricks.

 3. Leadership & DevOps
 * Mentor and lead cross-functional delivery teams of Data Engineers, Analytics Engineers, and DevOps Engineers.
 * Enforce Infrastructure-as-Code (IaC) practices using Terraform or CloudFormation for enterprise workspace deployments.
 * Build CI/CD automation pipelines for Databricks notebooks, Delta Live Tables (DLT), and Spark jobs.