✦ Luna Orbit — Data & Analytics

Resident Solutions Architect

at Databricks

📍 Boston, Massachusetts Unknown Posted March 12, 2026
Type Not Specified
Experience mid
Exp. Years 6+ years
Education Not specified
Category Data & Analytics

This role involves working with clients to design and implement big data solutions using the Databricks platform, focusing on data engineering, data science, and cloud integration.

  • Designing reference architectures
  • Building customer use cases
  • Supporting operational issues
  • Collaborating with technical teams
  • Guiding project scope

Technical scope includes data architecture, distributed computing with Apache Spark, cloud platforms (AWS, Azure, GCP), and MLOps, with a focus on project delivery and customer support.

The ideal candidate is a mid-level data solutions architect with over 6 years of experience in data engineering, cloud platforms, and distributed computing. They possess strong technical skills in Spark, Python, and cloud ecosystems, with a focus on customer success and project delivery.

6+ years experience in data engineeringPython or ScalaCloud ecosystems (AWSAzureGCP)Distributed computing with Apache SparkTechnical project deliveryCustomer engagement
Databricks CertificationReference architecture designEnd-to-end data architectureAI applicationsReference architectures
DatabricksApache SparkAWSAzureGCPCI/CDMLOps
Data engineeringPythonScalaCloud ecosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOpsData platformsData scienceDistributed computingProject delivery
PythonScalaCloud ecosystemsAWSAzureGCPApache SparkSpark runtime internalsCI/CDMLOpsData engineeringData platformsData scienceDistributed computingProject delivery
Customer serviceCommunicationConflict managementWhite-boardingDocumentationCustomer engagementTechnical support

Preferred

Databricks Certification
Industry SaaS
Job Function Big Data Solutions Architect for client data projects
Resident Solutions ArchitectBig Data Solutions ArchitectData engineeringData scienceCloud technologyDatabricks platformApache SparkSpark runtime internalsCI/CDMLOpsReference architecturesCustomer engagementTechnical project deliveryDistributed computingData platformsDatabricksCloud ecosystemsCustomer service

Less than 6 years experience in data engineering, Lack of experience with Apache Spark, No cloud platform knowledge, No customer engagement experience

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