About this role
Role Overview: BlackRock is seeking a Senior Principal Data Engineer to design, build, and operate large-scale, enterprise data platforms. This hands-on senior engineering position requires deep expertise in AI/ML and GenAI to not only enable AI use cases but to utilize AI as a primary tool for designing, building, and optimizing data pipelines. Key Responsibilities: Architect and operate scalable ETL/ELT pipelines for analytics, ML, and GenAI workloads. Leverage AI/ML for automated pipeline design, schema generation, code optimization, and automated testing. Implement AI-driven workflows for data quality, anomaly detection, and ingestion. Maintain feature engineering pipelines and training datasets for production systems. Enable GenAI capabilities including unstructured data ingestion and RAG pipelines. Provide technical leadership through architecture reviews and mentoring. Required Qualifications: 15+ years of experience in large-scale data engineering. Hands-on expertise in Python and SQL with experience on major cloud platforms (AWS, Azure, or GCP). Proven track record in architecting high-performance distributed systems. Demonstrated experience applying AI/ML to optimize data engineering processes. Strong background in supporting production ML/AI systems. Preferred Skills: Experience with GenAI/LLM ecosystems, microservices, and APIs. Prior experience in a player-coach role leading senior engineers. Experience in financial services or regulated environments. Benefits: Includes retirement plans, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO). Work Model: This is a hybrid role requiring at least 4 days in the office per week.