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Databricks Architect

ThinklusiveJersey City, NJ🇺🇸United StatesPosted 1 Sept 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to architect and implement cutting-edge enterprise-scale data and AI solutions on the Databricks platform, driving significant business outcomes. You'll thrive here if you possess deep expertise in Databricks, Spark, and cloud technologies, with a passion for hands-on problem-solving and customer collaboration. Apply now to leverage your extensive experience and shape the future of data innovation.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Jersey City, NJ, United States
Posted
Yesterday
SQLAWSMLOpsMachine LearningApacheApache SparkAzureDatabricksGoogle CloudUnity

Job Description

Role : Databricks Architect

Location: Atlanta/New Jersey

Note :

  • Databricks Data Engineer Professional Certification (Mandatory)
  • Should have worked as DataBricks Architect for at least 5 years.

Role Overview

We are seeking a highly experienced Senior Forward Deployed Engineer (FDE) / Resident Solutions Architect to work directly with customers in designing, implementing, and optimizing enterprise-scale data and AI solutions on the Databricks platform. This is a highly customer-facing consulting role that combines solution architecture, hands-on engineering, platform optimization, and strategic advisory responsibilities. The ideal candidate will have deep expertise in Databricks, Spark, Data Engineering, AI/ML, MLOps, and Cloud technologies, with a proven track record of delivering business outcomes and driving end-to-end ownership of large-scale data initiatives.

Experience

  • 10+ years of consulting and customer-facing technology experience.
  • 7+ years of experience in Data Engineering, Data Platforms, Analytics, or Big Data ecosystems.
  • Experience delivering enterprise-scale Databricks implementations with significant hands-on involvement.
  • Proven experience owning projects from solution design through production deployment and optimization.
  • Deep hands-on expertise with Databricks Lakehouse Platform.
  • Strong experience building data engineering solutions on Databricks.
  • Expertise in Delta Lake, Unity Catalog, Workflows, SQL Warehouses, and platform governance.
  • Expert-level knowledge of Apache Spark.
  • Working knowledge of AI/ML lifecycle management.
  • Experience with MLOps practices, model deployment, monitoring, and governance.
  • Familiarity with productionizing machine learning workloads.
  • Strong experience with AWS, Azure, or Google Cloud Platform.
  • Experience implementing CI/CD pipelines for production deployments.
  • Familiarity with Infrastructure as Code (IaC) and automation frameworks.

Preferred Qualifications

  • Databricks Data Engineer Professional Certification (Mandatory/Strongly Preferred).
  • Additional Databricks certifications in Data Engineering, Machine Learning, or Platform Administration.

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