✦ Luna Orbit — Data & Analytics

Resident Solutions Architect - Financial Services

at Databricks

📍 Remote - New York Remote Posted March 10, 2026
Type Not Specified
Experience senior
Exp. Years 9+ years
Education Not specified
Category Data & Analytics

This role involves leading big data and data science projects, designing scalable cloud-native data architectures, and supporting client data initiatives remotely.

  • Design big data architectures
  • Support data science projects
  • Implement scalable streaming
  • Work remotely with clients
  • Ensure data solution performance

The technical environment includes Apache Spark, cloud-native components, streaming and batch processing, and scalable data architecture design.

The ideal candidate is a senior data architect with over 9 years of experience in big data and data science, proficient in Apache Spark and cloud-native components, capable of designing scalable streaming and batch data solutions remotely.

9+ years experience in data engineeringExperience with data science and big data projectsKnowledge of cloud-native componentsExperience with scalable streaming and batch solutions
Databricks CertificationExperience in financial services
Apache SparkCloud PlatformsDatabricksStreaming Technologies
Big DataData EngineeringData ScienceCloud TechnologyApache SparkSparkEnd-to-End Data ArchitecturesScalable StreamingBatch SolutionsCloud-native Components
Big DataData EngineeringData ScienceCloud TechnologyApache SparkSparkEnd-to-End Data ArchitecturesScalable StreamingBatch SolutionsCloud-native Components
Client EngagementTechnical SupportCommunicationProject ManagementCustomer Focus

Preferred

Databricks Certification
Industry SaaS
Job Function Remote Data Architect
Resident Solutions ArchitectBig DataData EngineeringData ScienceCloud TechnologyApache SparkSparkEnd-to-End Data ArchitecturesScalable StreamingBatch SolutionsCloud-native ComponentsCustomer EngagementTechnical SupportCloud PlatformsStreaming TechnologiesDatabricks

Less than 9 years of experience, No experience with Apache Spark, Lack of cloud-native components knowledge, No experience with big data or data science

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