Senior Databricks Solution Architect

Duration: 6+ months

Compensation: $90-110hr

Location: Houston, TX



Job Overview:


We are seeking a Data Bricks Solution Expert who can take ownership of the complete architecture lifecycle, from initial client discovery and solution design through infrastructure deployment, data integration, governance, performance optimization, and production readiness. This role involves designing Azure Databricks environments from scratch, making critical architectural decisions, establishing secure and scalable foundations, and enabling advanced analytics and AI capabilities.

Responsibilities:

• Architect and implement Azure Databricks environments, including greenfield deployments.
• Design Azure landing zones, subscriptions, resource groups, networking, storage, identity, and platform connectivity.
• Architect secure Azure Databricks deployments using Private Link, network isolation, and secure connectivity.
• Design enterprise Lakehouse solutions using Delta Lake and Bronze, Silver, and Gold data layers.
• Design integrations across ERP, SAP, operational systems, APIs, relational databases, and enterprise data platforms.
• Architect governed analytics solutions using Databricks SQL, AI/BI Dashboards, and Genie Spaces.
• Design data and platform foundations supporting enterprise AI, machine learning, RAG, and agentic applications.
• Implement Infrastructure as Code using Terraform and automated deployment practices.
• Lead client discovery workshops to assess business objectives, existing technology, architectural requirements, and constraints.

Required Qualifications:

• 8 years of relevant technology experience, including substantial hands-on data platform and cloud architecture responsibilities.
• 3 years of hands-on Databricks implementation and architecture experience.
• Demonstrated experience designing and deploying at least one production Databricks platform from initial architecture through implementation.
• Strong Azure infrastructure knowledge, including networking, identity, security, storage, and deployment architecture.
• Hands-on experience with Unity Catalog and enterprise data governance.
• Strong understanding of Delta Lake, Spark, SQL, PySpark, and medallion architecture.
• Experience architecting data ingestion, enterprise integration, orchestration, and data processing solutions.
• Experience with Terraform, CI/CD, and automated platform deployments.
• Working knowledge of Databricks SQL, AI/BI Dashboards, and Genie Spaces.
• Demonstrated client-facing consulting, solution design, and technical leadership capabilities.

Preferred Qualifications:

• Databricks Certified Data Engineer Professional or Databricks Certified Data Analyst Associate.
• Databricks architecture, platform administration, or other relevant advanced credentials.
• Microsoft Azure Solutions Architect Expert certification.
• Experience deploying and optimizing Genie Spaces in production.
• Experience with Databricks AI/ML, MLflow, Vector Search, and agentic AI architectures.
• Knowledge of Lakebase and operational data application patterns.
• Experience with SAP, industrial data platforms, SCADA, historians, or IoT systems.
• Background in Oil & Gas, Energy, Utilities, Manufacturing, or Industrial operations.
• Experience leading nearshore engineering teams.

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