AWS Databricks Architect

ARK Solutions, Inc.
Atlanta, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
$ 175K

Job location

Atlanta, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Software as a Service
Cloud Engineering
Continuous Integration
Data Architecture
Information Engineering
Data Governance
ETL
PostgreSQL
Online Analytical Processing
Online Transaction Processing
Oracle Applications
Performance Tuning
Power BI
Cloud Services
Data Streaming
Tableau
Database Optimization
Data Strategy
Data Lake
Infrastructure Automation Frameworks
Amazon Web Services (AWS)
Real Time Data
Kafka
Data Management
Machine Learning Operations
Video Streaming
Terraform
Looker Analytics
Data Pipelines
Databricks

Job 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

Requirements

  • 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

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Vision insurance
  • Dental insurance, * 401(k)
  • Dental insurance
  • Health insurance
  • Vision insurance

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