Senior Databricks Solution Architect

The Brixton Group, Inc.
Houston, TX, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Compensation
$187,200 - $228,800
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Business Analytics Applications Microsoft Azure Cloud Engineering Continuous Integration Data Governance Data Infrastructure Relational Databases Supervisory Control and Data Acquisition (SCADA) Machine Learning Operational Data Store
+19 more
SAP (Applications) Search Technologies SQL Databases Enterprise Data Management Data Processing Data Ingestion Retrieval-Augmented Generation Apache Spark Agentic-AI Data Layers Data Lakes Pyspark Deployment Automation Enterprise Integration Operational Systems Data Management Machine Learning Operations Terraform Databricks

Job description

  • 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.

Requirements

  • 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., * 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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