✦ Luna Orbit — Data & Analytics

Resident Solutions Architect - Financial Services

at Databricks

📍 Atlanta, Georgia Unknown Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years 9+ years
Education Not specified
Category Data & Analytics

This role involves working on large-scale data engineering projects using Databricks and Apache Spark, providing technical leadership and consulting to clients in cloud environments.

  • Designing big data architectures
  • Building reference architectures
  • Guiding customer projects
  • Supporting operational issues
  • Collaborating with technical teams

The technical environment includes Databricks platform, Apache Spark, cloud ecosystems (AWS, Azure, GCP), with a focus on data architecture, MLOps, and distributed computing.

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 Apache Spark and cloud ecosystems like AWS, Azure, or GCP. They should have strong project delivery skills and experience with MLOps and CI/CD pipelines.

9+ 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 SparkKnowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOpsExperience with technical project deliveryDocumentation and white-boarding skills
Databricks Certification
DatabricksApache SparkAWSAzureGCP
Data EngineeringApache SparkDatabricksPythonScalaCloud ecosystemsAWSAzureGCPMLOpsCI/CDDistributed computingSpark runtime internalsCustomer serviceWhite-boardingProject delivery
PythonScalaCloud ecosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOps
customer servicecommunicationconflict managementwhite-boardingproject delivery

Preferred

Databricks Certification
Industry SaaS
Job Function Senior Data Solutions Architect
Data EngineeringApache SparkDatabricksPythonScalaCloud ecosystemsAWSAzureGCPMLOpsCI/CDDistributed computingSpark runtime internalsCustomer serviceWhite-boardingProject delivery

Less than 9 years of experience in data engineering, Lack of experience with Apache Spark, No cloud ecosystem knowledge, No programming in Python or Scala, No project delivery experience

Apply for this Position →

Get matched to jobs like this

Luna finds roles that fit your skills and career goals — no endless scrolling required.

Create a Free Profile