✦ Luna Orbit — Data & Analytics

Data AI Engineer, Dir, P4

at Morgan Stanley

📍 New York, New York, United States of America Hybrid 💰 $150K – $190K USD / year Posted March 26, 2026
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Position Details

Salary $150K – $190K USD / year
Type Not Specified
Experience mid
Exp. Years 8+ years
Education Not specified
Category Data & Analytics

About this role

This role involves leading data engineering efforts to develop scalable data pipelines and architectures within a financial services organization, leveraging cloud platforms and big data technologies.

Key Responsibilities

  • Develop data pipelines
  • Implement ETL processes
  • Design data architectures
  • Collaborate with stakeholders
  • Ensure data quality and governance

Technical Overview

The technical environment includes Python, Apache Spark, Hadoop, Snowflake, Databricks, AWS, and Azure, focusing on ETL, data modeling, and scalable data infrastructure.

Ideal Candidate

The ideal candidate is a senior data engineer with over 8 years of experience in building scalable data pipelines, proficient in Python, Spark, Hadoop, and cloud data platforms like Snowflake and Databricks, with strong knowledge of data architecture.

Must-Have Skills

8+ years in data engineering or related fieldProficiency in PythonExperience with Apache Spark or HadoopKnowledge of SQL and NoSQL databasesExperience with Snowflake and DatabricksUnderstanding of cloud data services (AWSAzure)Data modeling and architecture principles

Nice-to-Have Skills

Snowflake CortexData governanceData quality standards

Tools & Platforms

Apache SparkHadoopSnowflakeDatabricksAWSAzure

Required Skills

PythonApache SparkHadoopSQLNoSQLSnowflakeDatabricksAWSAzureData PipelinesETLData ModelingData Architecture

Hard Skills

PythonData PipelinesETLApache SparkHadoopSQLNoSQLSnowflakeDatabricksCloud PlatformsAWSAzureData ModelingData Architecture

Soft Skills

CollaborationCommunicationProblem-solvingSelf-motivationTeamwork

Industry & Role

Industry Financial Services
Job Function Building and maintaining data infrastructure and pipelines for enterprise analytics
Role Subtype Data Engineer
Tech Domains Python, Apache Spark, Hadoop, SQL, NoSQL, Snowflake, Databricks, AWS, Azure

Keywords for Your Resume

PythonApache SparkHadoopSQLNoSQLSnowflakeDatabricksAWSAzureData PipelinesETLData ModelingData ArchitectureData GovernanceData Quality

Deal Breakers

Less than 8 years of data engineering experience, No experience with Spark or Hadoop, Lack of proficiency in Python, No knowledge of cloud data platforms

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