✦ Luna Orbit — Data & Analytics

Resident Solutions Architect - Financial Services

at Databricks

📍 Remote - Illinois Remote Posted March 11, 2026
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Position Details

Type Full-Time
Experience senior
Exp. Years 9+ years
Education Not specified
Category Data & Analytics

About this role

This role involves working with clients on big data projects using the Databricks platform, providing data engineering, data science, and cloud solutions. The focus is on designing architectures, deploying AI applications, and ensuring successful project delivery.

Key Responsibilities

  • Designing and building reference architectures
  • Creating how-to guides and productionalizing use cases
  • Consulting on architecture and design
  • Supporting operational issues
  • Collaborating with technical teams

Technical Overview

Technical environment includes Databricks, Apache Spark, cloud platforms (AWS, Azure, GCP), with a focus on distributed computing, data architecture, MLOps, and CI/CD pipelines.

Ideal Candidate

The ideal candidate is a senior data engineer with over 9 years of experience in data platforms and analytics, proficient in Python or Scala, with deep expertise in distributed computing using Apache Spark and cloud ecosystems like AWS, Azure, or GCP. They should have strong project delivery skills and experience working directly with clients on complex big data projects.

Must-Have Skills

9+ years experience in data engineeringComfortable writing code in either Python or ScalaWorking knowledge of two or more cloud ecosystems (AWSAzureGCP)Deep experience with distributed computing with Apache SparkKnowledge of Apache Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOpsExperience with technical project deliveryDocumentation and white-boarding skillsExperience working with clients and managing conflicts

Nice-to-Have Skills

Databricks Certification

Tools & Platforms

DatabricksApache SparkAWSAzureGCP

Required Skills

PythonScalaCloud ecosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOps

Hard Skills

PythonScalaCloud ecosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOps

Soft Skills

customer servicecommunicationconflict managementwhite-boardingproject delivery

Certifications

Preferred

Databricks Certification

Industry & Role

Industry SaaS
Job Function Big Data Solutions Architect for client projects using Databricks platform

Keywords for Your Resume

Data EngineerData ScienceCloud EcosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOpsDatabricksBig DataAI applicationsDistributed computingTechnical project deliveryCustomer servicePythonScala

Deal Breakers

Less than 9 years of experience in data engineering, Lack of experience with Apache Spark, No cloud ecosystem knowledge (AWS, Azure, GCP), No experience with MLOps or CI/CD, Inability to work remotely in Illinois

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