Databricks Architect

Jersey City, NJ, US • Posted 7 hours ago • Updated 1 hour ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AWS
  • Azure
  • Databricks
  • AI/ML
  • CI/CD
  • Data Governance
  • Big Data
  • Apache Spark
  • Production Deployment
  • Machine Learning
  • MLOps
  • Google Cloud Platform
  • Data architecture
  • Model monitoring
  • Infrastructure as Code (IaC)
  • Solution Architecture
  • Automation
  • Model Deployment
  • Delta Lake
  • Data Engineering
  • Unity Catalog
  • Databricks Lakehouse
  • Databricks Workflows
  • Databricks SQL Warehouses
  • Data Platforms
  • Analytics
  • Platform Governance
  • Enterprise Data Solutions
  • Platform Optimization
  • Customer-Facing Consulting

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91135852
  • Position Id: 2026-260
  • Posted 7 hours ago
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