✦ Luna Orbit — Data & Analytics

Resident Solutions Architect-Manufacturing

at Databricks

📍 United States; USCA Unknown Posted March 10, 2026
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Position Details

Type Not Specified
Experience mid
Exp. Years 6+ years
Education Not specified
Category Data & Analytics

About this role

This role involves working with customers on big data projects using the Databricks platform, providing technical expertise in data engineering, data science, and cloud solutions.

Key Responsibilities

  • Handle customer technical projects
  • Design and build reference architectures
  • Guide big data and AI implementations
  • Collaborate with engineering and support teams
  • Manage project scope and timelines

Technical Overview

The technical environment includes Databricks platform, Apache Spark, cloud ecosystems (AWS, Azure, GCP), CI/CD pipelines, and MLOps tools, focusing on scalable data architecture and AI deployment.

Ideal Candidate

The ideal candidate is a mid-level data engineer with 6+ years of experience in data platforms and analytics, proficient in Python or Scala, and experienced with cloud ecosystems like AWS, Azure, or GCP. They should have deep expertise in distributed computing with Apache Spark and a strong customer service orientation.

Must-Have Skills

6+ years experience in data engineeringdata platforms & analyticsComfortable writing code in either Python or ScalaWorking knowledge of two or more cloud ecosystems (AWSAzureGCP)Deep experience with distributed computing with Apache SparkFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOpsDesign and deployment of data architecturesExperience with technical project deliveryDocumentation and white-boarding skills

Nice-to-Have Skills

Experience with industry-specific big data and AI applicationsCustomer engagement experienceTravel flexibility

Tools & Platforms

Databricks platformApache SparkAWSAzureGCPCI/CD toolsMLOps tools

Required Skills

Data EngineeringPythonScalaCloud ecosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOps

Hard Skills

PythonScalaCloud ecosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOps

Soft Skills

customer servicecommunicationproblem-solvingconflict managementwhite-boarding

Industry & Role

Industry SaaS
Job Function Deliver big data and AI solutions to enterprise customers using Databricks platform

Keywords for Your Resume

Resident Solutions ArchitectData EngineeringData Platforms & AnalyticsPythonScalaAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOpsBig DataAI applicationsCustomer engagementTechnical project delivery

Deal Breakers

Lack of 6+ years experience in data engineering, No experience with Apache Spark, Inability to work with cloud ecosystems (AWS, Azure, GCP), No experience in technical project delivery, Unwillingness to travel up to 30%

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