Databricks Solution Architect (AWS) | 100% Remote - 2 positions (1 position 40 hours / week & 2nd position 20 hours / week)


Vinsari LLC
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Job Details
Skills
- Databricks
- Databricks Architect
- Solution Architect
- AWS
- Cloud Architecture
- Data Engineering
- BigData
- Lake house
- ApacheSpark
- PySpark
- SQL
- Delta Lake
- Unity Catalog
- MLflow
- Kafka
- Streaming
- Cloud Security
- Data Governance
- Data Architecture
- AI
- Machine Learning
Summary
We're Hiring: Databricks Solution Architect (AWS) | 100% Remote |
Contract Opportunity
Are you a seasoned Databricks Solution Architect with expertise in designing secure, scalable, cloud-native data platforms? Join our team and lead enterprise data modernization initiatives leveraging the Databricks Lakehouse Platform and AWS.
Location: 100% Remote (U.S. Candidates Preferred)
Start Date: August 17, 2026
Duration: 32 Weeks (Contract)
positions : 2 (1 position 40 hours / week & 2nd position 20 hours / week)
Architect and deliver enterprise-scale Databricks Lakehouse solutions.
Design high-performance ETL/ELT, batch, and real-time streaming data pipelines.
Lead solution architecture, technical design sessions, and implementation strategies.
Optimize Databricks clusters for scalability, reliability, and cost efficiency.
Develop modern data architectures supporting analytics, AI/ML, and business intelligence.
Mentor engineering teams and establish architecture best practices.
Security, Governance & Compliance
Design secure Databricks environments with enterprise-grade security controls.
Implement Unity Catalog, RBAC, data governance, lineage, auditing, and cataloging.
Ensure encryption, secrets management, IAM integration, and secure networking.
Support compliance with enterprise security standards and regulatory requirements.
Build secure CI/CD pipelines and promote infrastructure-as-code best practices.
Required Skills
Databricks Lakehouse Platform
Apache Spark / PySpark / SQL
AWS (S3, IAM, Glue, Lambda, Redshift, etc.)
Delta Lake & Delta Live Tables
Unity Catalog & MLflow
Kafka, Kinesis, Structured Streaming
Data Modeling & Lakehouse Architecture
Git, CI/CD, DevOps
Preferred Qualifications
Databricks Certified Data Engineer Professional or Databricks Architect Certification
AWS Solutions Architect Certification
Experience with enterprise cloud migration and data modernization
Knowledge of Tableau, Power BI, or Looker
Experience with MLOps and AI/ML platforms
Why Join?
Work remotely with a highly skilled engineering and architecture team.
Lead enterprise-scale cloud transformation and data modernization initiatives.
Work with the latest Databricks technologies and cloud-native architectures.
Opportunity to make a significant impact while advancing your technical leadership.
Interested? Send your updated resume or tag someone who would be a great fit! ---
- Dice Id: 10370547
- Position Id: DBARCH
- Posted 3 hours ago
Company Info
About Vinsari LLC
Vinsari is a leading IT solution provider with vast experience in designing, developing and implementing mission-critical solutions. Vinsari has been successful in helping clients achieve their strategic objectives including:
• Improving company revenues and cutting costs by optimization of workflow
• Reaching operational excellence
• Developing ideas into viable solutions
• Increasing customer satisfaction
In addition to being a premier provider of solutions for complex information technology issues faced by businesses today, Vinsari' solutions list include the following:
• Application Development and Management
• Web and User Experience Design
• Quality Assurance
• Database Administration
• Data Warehousing and Business Intelligence
• Infrastructure Management
• Professional IT Staffing
• Virtualization
• Information Security
We view our business as successful only when our clients are successful. We regard it as a privilege to serve our customers and are committed to doing whatever it takes to ensure they are 100 percent satisfied. All of us at Vinsari gauge our success by our customers' success. We judge ourselves individually and collectively based on how our customers are fulfilling their management objectives.
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