✦ Luna Orbit — Data & Analytics

Resident Solutions Architect - Financial Services

at Databricks

📍 Boston, Massachusetts Unknown Posted March 13, 2026
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Position Details

Type Not Specified
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 candidate will lead impactful technical projects, design architectures, and support customer success.

Key Responsibilities

  • Designing and building reference architectures
  • Creating how-to's and productionalizing use cases
  • Guiding strategic customers on big data projects
  • Providing escalated support for operational issues
  • Collaborating with technical teams to improve products

Technical Overview

The technical environment includes Databricks, Apache Spark, cloud platforms (AWS, Azure, GCP), with a focus on distributed computing, MLOps, CI/CD, and scalable data architectures.

Ideal Candidate

The ideal candidate is a senior data engineer with over 9 years of experience in data platforms, 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 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 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

Data engineeringApache SparkPythonScalaCloud ecosystemsAWSAzureGCPMLOpsCI/CDDatabricksDistributed computingBig DataAI applicationsCustomer engagementTechnical project delivery

Hard Skills

PythonScalaCloud ecosystemsAWSAzureGCPApache SparkSparkCI/CDMLOps

Soft Skills

customer servicecommunicationconflict managementwhite-boardingproject delivery

Certifications

Preferred

Databricks Certification

Industry & Role

Industry SaaS
Job Function Lead big data and AI projects for clients using Databricks and cloud technologies

Keywords for Your Resume

Data EngineerData PlatformsApache SparkPythonScalaCloud ecosystemsAWSAzureGCPMLOpsCI/CDDatabricksDistributed computingBig DataAI applicationsCustomer engagementTechnical project delivery

Deal Breakers

Less than 9 years experience in data engineering, Lack of experience with Apache Spark, No cloud ecosystem knowledge, No experience with MLOps or CI/CD, Inability to work with clients

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