High-Priority Role – Big Data Modeler (Data Vault 2.0 Expertise Required)Job Title: Big Data Modeler (Data Vault 2.0 Expertise Required) Location: Las Vegas, NV (Onsite) Experience Required: 12 – 15 Years Start Date: Immediate / Urgent Requirement Domain Experience Preferred: Financial ServicesAbout the RoleWe are actively seeking a Senior Big Data Modeler with strong, hands-on experience in Data Vault 2.0 to support the data strategy of a key client. This is a mission-critical role focused on building scalable, cloud-native data architecture using modern platforms and modeling practices.Top Primary Skills – Must-HaveData Vault 2.0 – Proven experience in real-world implementationsData Modeling – Strong in relational, dimensional, star, snowflake, normalized/denormalized modelsCloud Data Platforms – Snowflake, Hive, RedshiftData Lakehouse – Experience with architecture and tools like S3, Hive, Trino, HUEBig Data Ecosystem – Strong knowledge of Hadoop/Hive/S3 integration and schema designData Governance & Quality – Understanding of MDM, Data Dictionary, Data MappingData Modeling Tools – ERwin, ER/Studio, or Toad Data ModelerSQL Expertise – Ability to work with complex datasets across SQL Server, Oracle, DB2Excellent Communication – Comfortable working with cross-functional stakeholdersAgile & Collaboration – Experience working in agile teams with global team alignment (including Pacific Time overlap)Key ResponsibilitiesDesign enterprise-scale data models (100+ entities) for both on-prem and cloud environmentsLead implementation of Data Vault 2.0 in cloud-native data environmentsCollaborate with business analysts, product owners, DBAs, and data engineers to translate business requirements into data modelsDefine and implement data governance, data quality, and data lineage strategiesWork with modern big data stacks: Hive, S3, Trino, HUE, SnowflakeDevelop logical and physical data models using tools like ERwin, ER/Studio, or ToadApply industry best practices including Bill Inmon and Ralph Kimball methodologiesParticipate in agile ceremonies and have at least 2 hours of daily overlap with Pacific Time ZoneQualificationsBachelor's or Master’s degree in Computer Science, Information Systems, or a related fieldMinimum of 12 years in data architecture and modelingFinancial services domain experience is a strong plusStrong documentation and presentation skillsAbility to lead and mentor junior data engineers and analysts