SOLUTION ARCHITECT (DATABRICKS) | DUBLIN, OH (REMOTE)

Position: SOLUTION ARCHITECT (DATABRICKS)

Experience: 10+ YEAR S

Location: DUBLIN, OH (REMOTE)

Employment Type: CONTRACT (W2/1099 ONLY)

Visa Type: USC

Summary:

Role Overview

We are looking for a Databricks Platform Expert with extensive experience in end-to-end Databricks implementations who can act as a Solution Architect. This role will lead the design, architecture, and deployment of Databricks-based solutions, ensuring best practices for scalability, security, and performance.

Key Responsibilities

Solution Architecture & Design

• Define and implement Databricks architecture for enterprise-scale data platforms.
• Design data lakehouse solutions leveraging Databricks capabilities.
• Establish best practices for cluster management, job orchestration, and cost optimization.

Implementation & Integration

• Lead end-to-end Databricks platform setup, including workspace configuration, security, and governance.
• Integrate Databricks with cloud services (Azure/AWS/Google Cloud Platform) and enterprise data sources.
• Develop data pipelines, ETL/ELT workflows, and optimize performance for large-scale workloads.

Collaboration & Leadership

• Act as a technical advisor to stakeholders and guide teams on Databricks adoption.
• Provide solution blueprints, architecture diagrams, and documentation.
• Ensure compliance with data governance, security, and regulatory standards.

Required Qualifications

• 10+ years of experience in data engineering, analytics, or platform architecture.
• Extensive hands-on experience with Databricks, including:
• Workspace setup and administration.
• Cluster configuration and optimization.
• Job scheduling and orchestration.
• Proven track record of end-to-end Databricks implementations in enterprise environments.
• Strong understanding of data lakehouse architecture, Medallion architecture, and cloud-native data platforms.
• Expertise in Spark, SQL, and Python for data processing.

Skills: Preferred Skills

• Experience with Azure Databricks, AWS Glue, or Google BigQuery.
• Knowledge of CI/CD pipelines, DevOps practices, and Infrastructure as Code.
• Familiarity with data security frameworks and cost optimization strategies.

Keywords:

Education: BS in computer or related field.