AWS Databricks Architect
ARK Solutions, Inc.
Atlanta, GA, United States
about 1 month ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Compensation
$175,000.0
Working hours
Regular working hours
Job source
Tech stack
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
+21 more
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
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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