Software Engineering Lead - Data & Analytics Platforms Hybrid - Morgan Stanley

Key Responsibilities

  • Architect, develop, and maintain cloud‑native data platforms that support real‑time analytics and reporting for finance applications.
  • Lead a team of software engineers, providing technical guidance, mentorship, and performance management.
  • Drive the integration of big‑data technologies such as Apache Spark and Kafka to enable high‑throughput data pipelines.
  • Collaborate with product owners, data scientists, and stakeholders to translate business requirements into scalable technical solutions.
  • Implement DevOps best practices using Kubernetes, CI/CD pipelines, and automated testing to ensure reliable releases.
  • Explore and prototype Generative AI and machine‑learning features to enhance the analytics lifecycle.

Requirements

  • 5+ years of experience in software engineering with a focus on data platforms, preferably in financial services.
  • Strong proficiency in Java and Python, and solid experience with SQL and relational databases.
  • Hands‑on experience designing, deploying, and operating solutions on AWS (or comparable cloud providers).
  • Deep knowledge of big‑data frameworks such as Apache Spark and streaming platforms like Kafka.
  • Proven leadership skills, including team building, technical mentorship, and delivery of complex projects.
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