Data Engineering and Development VP
Core
Lead the design, development, and deployment of data engineering solutions, AI/ML models, and automation frameworks for fund accounting, custody, and reference data domains.
Role type
VP of Data Engineering and Development (hands-on strategist)
Builds
Scalable data platforms, reusable frameworks, and enterprise data pipelines for financial services
Domain
Financial Services (Fund Accounting, Custody, Reference Data)
Deliverable
production ML models
Required skills
Python, Apache Spark, PySpark, Databricks, Generative AI, Data Modeling, Data Lineage, Data Governance, API Integration, Distributed Systems, Software Engineering Principles
Preferred skills
Java, FastAPI, PyTorch, TensorFlow, Pandas, LangChain, Azure OpenAI, Hugging Face, OpenAI, Responsible AI practices
Technologies
Python, Apache Spark, PySpark, Databricks, LangChain, Azure OpenAI, Hugging Face, OpenAI, FastAPI, PyTorch, TensorFlow, Pandas, Java
Responsibilities
Lead design and deployment of solutions for document processing and intelligent agents; Define and evolve data architecture patterns for fund accounting and custody; Establish scalable data models and quality controls; Drive architecture decisions balancing domain expertise and platform reuse; Mentor teams and influence stakeholders; Collaborate on translating business needs into data-driven workflows.
Seniority
VP, Strategy & Mentorship