{"id":3601485,"url":"https://alion.io/job/jpmorganchase-corporate-technology-lead-data-architect-4","title":"Corporate Technology - Lead Data Architect","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":1100,"ghost_share":0.022,"stale_share":0.571,"repost_share":0.055,"time_to_fill_p50_days":14,"computed_at":"2026-11-06T05:58:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CockroachDB","optional":false},{"name":"Databricks","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Snowflake","optional":false},{"name":"GDPR","optional":true},{"name":"Prompt Engineering","optional":true}],"status":"live","first_seen_at":"2026-10-29T19:17:05Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-06T14:23:17Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"Join the team that assesses current state and target state plans for consolidation to the strategic data lake, adoption of core data technologies for application development, and defining data standards across a portfolio of applications serving the Compliance, Oversight, and Governance businesses.\nAs a Lead Data Architect, within Corporate Technology, you will provide expertise to develop and enhance the data architecture of multiple applications in their journey to modernize to cloud-based technologies.\nJob responsibilities:\nDrive the Data Architecture principles and framework to enforce and strengthen the overall data environment for the portfolio of applications\nOwn and evolve database standards, including database choice and sensible defaults in collaboration with application architects for the portfolio applications\nDrive adoption of the strategic lake by designing target state data architectures to reduce the presence of bespoke data applications holding large amounts of duplicate data\nDefine data processing patterns and standards for data exchange between applications including streaming, API, and batch based interactions\nServes as the function’s go-to subject matter expert for data architecture needs across 100+ applications\nMentors and coaches junior architects and technologists regarding data practices, modeling, design, and storage\nChampions the firm’s culture of diversity, opportunity, inclusion, and respect\nRequired qualifications, capabilities, and skills:\n10+ years of related experience in data architecture roles; Experience with various data modeling techniques and tools related to data across both OLTP and OLAP patterns\nDeep knowledge of data architecture, best practices, and industry trends for modern data needs and proven ability to work in a multi-national, geographically distributed team \nDeep knowledge in one or more cloud based databases, such as Postgres or Cockroach DB, or data lake platforms such as Databricks or Snowflake\nProven ability to set standards, and write Architecture Decision Records to set the north star vision, and evangelize across many application teams \nBroad expertise in data technologies; i.e. data processing, data quality concepts, Business Intelligence and analytical tools, unstructured data, machine learning\nExperience with data governance frameworks, data catalogs, data vocabularies, and data classification needs\nCloud fundamentals, AWS (preferred) or other public cloud platforms\n\nPreferred qualifications, capabilities, and skills:\nAdvanced analytical thinking and problem-solving skills\nExperience with alternative data platforms such as graph databases or graph based data.\nFamiliar with Large Language Models (LLMs) and prompt engineering\nFamiliar with Finance and Banking products and related protection standards, such as GDPR or PCI\nWe do not offer any type of employment-based immigration sponsorship for this position. 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