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Data Platform Engineer, AVP - Data, Cloud & Developer Experience

Blackstone is the world's largest alternative asset manager with $1.1 trillion in assets under management.
$125,000 - $190,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
4+ years of experience
Finance

Description For Data Platform Engineer, AVP - Data, Cloud & Developer Experience

Blackstone, the world's largest alternative asset manager with $1.1 trillion in assets under management, is seeking a Data Platform Engineer to join their Technology & Innovations (BXTI) team. This role sits at the intersection of data science, software engineering, and cloud infrastructure, focusing on building and maintaining the critical data platforms that power Blackstone's operations.

The position offers an opportunity to work with cutting-edge technologies in cloud computing, data engineering, and machine learning operations. You'll be responsible for designing and maintaining scalable data platforms, implementing MLOps practices, and ensuring robust data pipeline operations. The role requires collaboration with data scientists and analysts to optimize workflows and deploy machine learning models to production.

Working at Blackstone means joining a team that's critical to maintaining the firm's competitive edge in the financial markets. The BXTI team is known for its entrepreneurial spirit and rapid development pace, where team members can make significant impacts from day one. The environment emphasizes active mentoring and excellence in execution.

The ideal candidate will bring 4+ years of data platform engineering experience, strong programming skills in Python and SQL, and expertise in cloud platforms. You'll be working with modern tools including Kubernetes, Docker, and various MLOps frameworks. The role offers competitive compensation ranging from $125,000 to $190,000, plus additional benefits.

This is an excellent opportunity for a talented engineer looking to advance their career at the intersection of finance and technology, working with enterprise-scale data systems and contributing to the success of a global investment firm.

Last updated 23 days ago

Responsibilities For Data Platform Engineer, AVP - Data, Cloud & Developer Experience

  • Design, build, and maintain scalable and reliable data platforms and pipelines
  • Support integration of tools for data ingestion, preprocessing, model training, and deployment
  • Manage cloud platforms for compute resources, storage, and networking
  • Monitor and optimize platform performance
  • Collaborate with data scientists to understand requirements and streamline workflows
  • Deploy machine learning models to production environments
  • Develop automation scripts and tools
  • Implement version control and reproducibility practices
  • Ensure platform security and compliance
  • Manage access controls and permissions

Requirements For Data Platform Engineer, AVP - Data, Cloud & Developer Experience

Python
Kubernetes
  • 4+ years of Data Platform Engineering experience in enterprise environment
  • Proficiency in Python, Scala and SQL
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud)
  • Basic understanding of containerization and orchestration tools
  • Knowledge of data pipelines and ETL processes
  • Strong problem-solving skills and attention to detail
  • Excellent communication and teamwork skills
  • Bachelor's degree in Computer Science, Data Engineering, or related field

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