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# AWS Databricks Architect

- **Company:** ARK Solutions, Inc.
- **Location:** Atlanta, GA, United States
- **Experience:** Experienced
- **Salary:** $175,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Software as a Service, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), PostgreSQL, Online Analytical Processing, Online Transaction Processing, Oracle (Applications), Performance Tuning, Power BI, Cloud Services, Data Streaming, Tableau (Software), Database Optimization, Data Strategy, Data Lakes, Infrastructure Automation Frameworks, AWS Data Analytics, Real Time Data, Apache Kafka, Data Management, Machine Learning Operations, Video Streaming, Terraform, Looker Analytics, Data Pipelines, Databricks
- **Published:** July 2, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=5a9a04b047de59e9

## About the Role

* 10+ years of experience in Data Architecture / Data Engineering
 * Strong hands-on experience with Databricks and AWS data ecosystem
 * Expertise in Oracle and PostgreSQL databases
 * Experience with OLTP, OLAP, ETL/ELT, data lakes, and streaming platforms
 * Strong understanding of multi-tenant SaaS architecture
 * Experience with Kafka, Kinesis, CDC, or similar streaming technologies
 * Knowledge of AI/ML data platforms and analytics ecosystems
 * Experience with Terraform, CI/CD, and Infrastructure as Code
 * Strong data modeling and performance optimization expertise

Preferred Experience:

 * Transportation, Logistics, or Supply Chain domain experience
 * Exposure to SageMaker, MLflow, or Databricks ML
 * Knowledge of modern BI tools like Tableau, Power BI, or Looker

## Description

We are seeking an experienced Data Architect to lead the strategic design and implementation of enterprise-scale data architecture solutions supporting multi-tenant SaaS platforms. This role will focus on modern cloud-based data ecosystems, scalable data platforms, AI/ML-ready architectures, and real-time data integration solutions., * Design and implement scalable enterprise data architectures for SaaS environments

 * Architect modern data lakes, ETL/ELT pipelines, and real-time streaming solutions
 * Lead database optimization and performance tuning initiatives
 * Define data governance, security, and data modeling standards
 * Collaborate with engineering, leadership, and business stakeholders on data strategy
 * Support AI/ML data readiness and analytics platform initiatives
 * Drive cloud-native data platform adoption using AWS and Databricks


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