Lead Data AI Engineer_Vice President_Data & Analytics Engineering
Core
Building and maintaining the data infrastructure that powers the technology datalake, including hands-on development of data pipelines and ETL processes.
Role type
Lead Data AI Engineer (Vice President level)
Builds
Data pipelines, ETL processes, and scalable data systems for the technology datalake.
Domain
Financial services / Data Engineering
Deliverable
production ML models
Required skills
Python, Apache Spark, Hadoop, SQL, NoSQL, Snowflake, Databricks, GenAI, Kafka, Git, Jupyter notebooks, data modeling, data warehousing, cloud platforms (AWS, Azure)
Preferred skills
Tableau, Power BI, data governance, Agile, data catalog tools (Collibra), CI/CD pipelines
Responsibilities
Develop and maintain data pipelines and ETL processes; Work with structured and unstructured data; Optimize data systems for performance and scalability; Implement data quality and governance standards; Collaborate with stakeholders to translate data needs into technical solutions; Contribute to documentation and knowledge sharing; Participate in code reviews; Contribute to the broader data architecture community through presentations.
Seniority
Vice President, Lead Engineer