AI Solutions Data Platform Engineer - Assistant Vice President

Qualifications

• Core Data Engineering Skills 7+ years overall experience in Big Data or Enterprise large-scale application development using scalable tools like Databricks, Scala, Java
• the Python ecosystem. 5+ years of relevant experience in Technology implementing data-intensive solutions using agile methodologies.
• Deep understanding of data modeling, data warehousing concepts, methodologies, and best practices.
• Strong experience with data processing (e.g., Spark, Starburst, Snowflake, Redshift), storage (e.g., Hadoop, MongoDB, Oracle), and ETL (e.g., Airflow, Ab Initio, Talend) solutions.
• Experience with data engineering techniques such as building data lakes and data warehouses, data mesh architectures, data pipelines, and ETL vs.
• Strong expertise in Starburst/Trino with deep understanding of data federation and data virtualization architectures.
• Experience with real-time data processing and data virtualization technologies such as Starburst, Snowflake, and Flink (preferred).
• Experience with designing and developing distributed systems, handling structured and unstructured data to store, analyze, and report.
• Experience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark, etc.
• Proficient in PL/SQL and Unix Shell scripts.
• Strong SQL, PL/SQL development, and database tuning experience.
• Experience in designing Online Transaction Processing (OLTP), Operational Data Store (ODS), and Data Warehouse applications.
• Experience with Data Quality and data lineage.
• AI Agents, Orchestration & Applied AI Demonstrable experience with AI Agents, including their design, development, and integration into data engineering workflows and software systems.
• Practical knowledge of Model Context Protocol (MCP) servers, including: Setting up and configuring MCP servers to expose data tools, database connections, and APIs as contextual resources for LLM-powered agents.
• Designing MCP-compatible tool interfaces that allow agents to query, transform, and validate data autonomously.
• Understanding MCP's client-server architecture and its role in enabling secure, standardized communication between AI agents and enterprise data systems.
• Understanding of Retrieval-Augmented Generation (RAG) principles, including vector databases (e.g., Pinecone, Weaviate, ChromaDB) and advanced retrieval techniques for grounding agents in enterprise data.
• Awareness of Large Language Models (LLMs) (e.g., OpenAI, Gemini, Claude, Llama) and their practical application in data engineering contexts such as automated schema inference, natural language querying
• intelligent data cataloging.
• Education: Bachelor’s degree/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer
• qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran
• any other characteristic protected by law.
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