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Databricks consultant -Resident Solutions Architect

LetitBeX AI Tech Solutions LLCUnited States🇺🇸United States

Why this role stands out

Elevate your career as a Resident Solutions Architect at LetitBeX AI Tech Solutions, where you will leverage your deep expertise in Databricks and cloud architecture to drive high-impact data transformations. This hybrid role is perfect for a seasoned consultant who thrives on solving complex technical challenges and wants to shape the future of enterprise data platforms. Apply today to bring your mastery of Apache Spark and MLOps to an innovative team that values technical excellence and professional growth.

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
SQLScalaAWSMLOpsApacheApache SparkAzureDatabricksGitGitHub ActionsGoogle CloudJenkinsPythonUnity

Job description

Required Qualifications

  • 10+ years of consulting experience with 7+ years in Data Engineering, Data Platforms, and Analytics.
  • Databricks Data Engineering Professional Certification completed, along with the required Databricks training.
  • Successfully delivered 6–8+ Databricks implementation projects with hands-on development experience.
  • Strong expertise in Apache Spark and distributed computing, including Spark runtime internals.
  • Working knowledge of two or more cloud platforms (AWS, Azure, or Google Cloud Platform), with deep expertise in at least one.
  • Experience implementing CI/CD pipelines for production deployments.
  • Working knowledge of MLOps practices and deployment workflows.
  • Strong understanding of the Databricks Data Intelligence Platform, including its latest features and capabilities.
  • Experience with performance tuning, optimization, and scalability of data workloads.
  • Strong communication, customer engagement, and consulting skills.

Preferred Skills

  • Experience with Delta Lake, Unity Catalog, Lakehouse architecture, and Lakeflow.
  • Knowledge of SQL, Python, Scala, and Spark.
  • Experience integrating enterprise data platforms and modern analytics architectures.
  • Familiarity with DevOps tools such as Git, Azure DevOps, GitHub Actions, Jenkins, or similar.
  • Experience supporting enterprise customers in production environments.

Mandatory Requirements

  • Databricks Data Engineering Professional Certification.
  • Minimum 6–8 completed Databricks implementation projects.
  • Strong hands-on development experience on the Databricks platform.
  • Expertise in Spark performance tuning and distributed computing.
  • Cloud experience across AWS, Azure, or Google Cloud Platform.
  • CI/CD and MLOps exposure.
  • Current knowledge of Databricks products and platform capabilities.

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