{"id":4219182,"url":"https://alion.io/job/citi-data-platform-engineer-assistant-vice-president-2","title":"Data Platform Engineer - Assistant Vice President","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":620,"ghost_share":0.018,"stale_share":0.348,"repost_share":0.061,"time_to_fill_p50_days":9,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Pune, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flink","optional":false},{"name":"Gemini","optional":false},{"name":"Hadoop","optional":false},{"name":"Java","optional":false},{"name":"Llama","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OpenAI","optional":false},{"name":"Oracle","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scala","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Trino","optional":false},{"name":"Unix","optional":false}],"status":"live","first_seen_at":"2026-11-12T00:00:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T03:53:36Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"Job Description\nFinance Technology is looking for a hands-on senior data engineer who is passionate about solving business problems through innovation and engineering practices. In this role, you will leverage your deep technical knowledge to drive the creation of a scalable and high-quality data intensive platform leveraging some of the latest methodologies such as Data Virtualization and Data Domains. The ideal candidate should have a strong foundation in data engineering principles, understanding of different data pipelines and the ability to optimize and scale data processing and analytics solutions.\nQualifications:\nCore Data Engineering Skills\n7+ years overall experience in Big Data or Enterprise large-scale application development using scalable tools like Databricks, Scala, Java, and the Python ecosystem.\n5+ years of relevant experience in Technology implementing data-intensive solutions using agile methodologies.\nStrong expertise in Starburst/Trino with deep understanding of data federation and data virtualization architectures.\nExperience with real-time data processing and data virtualization technologies such as Starburst, Snowflake, and Flink (preferred).\nDeep understanding of data modeling, data warehousing concepts, methodologies, and best practices.\nStrong 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.\nExperience with data engineering techniques such as building data lakes and data warehouses, data mesh architectures, data pipelines, and ETL vs. ELT patterns.\nExperience with designing and developing distributed systems, handling structured and unstructured data to store, analyze, and report.\nExperience with developing and maintaining large and complex database systems using relational databases like Oracle, and other big data technologies like Hadoop, Spark, etc.\nProficient in PL/SQL and Unix Shell scripts. Strong SQL, PL/SQL development, and database tuning experience.\nExperience in designing Online Transaction Processing (OLTP), Operational Data Store (ODS), and Data Warehouse applications.\nExperience with Data Quality and data lineage.\nAI Agents, Orchestration & Applied AI\nDemonstrable experience with AI Agents, including their design, development, and integration into data engineering workflows and software systems.\nPractical 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.\nDesigning MCP-compatible tool interfaces that allow agents to query, transform, and validate data autonomously.\nUnderstanding MCP's client-server architecture and its role in enabling secure, standardized communication between AI agents and enterprise data systems.\n\nUnderstanding of Retrieval-Augmented Generation (RAG) principles, including vector databases and advanced retrieval techniques for grounding agents in enterprise data.\nAwareness 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, and intelligent data cataloging.\nEducation:\nBachelor’s degree/University degree or equivalent experience\n------------------------------------------------------\nJob Family Group:\nTechnology------------------------------------------------------\nJob Family:\nApplications Development------------------------------------------------------\nTime Type:\nFull time------------------------------------------------------\nMost Relevant Skills\nPlease see the requirements listed above.------------------------------------------------------\nOther Relevant Skills\nFor complementary skills, please see above and/or contact the recruiter.------------------------------------------------------\nCiti is an equal opportunity employer, and 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, or any other characteristic protected by law.\nIf you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.\nView Citi’s EEO Policy Statement and the Know Your Rights poster.","description_format":"text","description_chars":4443,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cards & Card Issuing","Wealth Management & Financial Advisors","Payment Processing & Gateways","Investment 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