
51 - 200 employees
đź Consulting
đ¤ Artificial Intelligence
đ Compliance
Consulting ⢠Artificial Intelligence ⢠Compliance
HIKE2 is a technology consulting firm that specializes in helping clients in regulated industries leverage emerging technologies to accelerate opportunities and efficiencies. The company provides expert consulting services at the intersection of technology, regulatory compliance, and strategic growth. HIKE2 empowers industries such as law firms, financial services, insurance companies, business service providers, and high-tech SaaS companies by offering tailored technology solutions that address complex challenges and improve engagement, efficiency, and growth outcomes. Their services include Artificial Intelligence, Data & Analytics, Cloud Solutions, and Salesforce, with a focus on holistic compliance strategy, ethical innovation, and strategic growth initiatives.
đĽ 1 minute ago
đ Pennsylvania â Remote
đľ $125k - $175k / year
â° Full Time
đ Senior
đˇđťââď¸ Engineer
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51 - 200 employees
đź Consulting
đ¤ Artificial Intelligence
đ Compliance
Consulting ⢠Artificial Intelligence ⢠Compliance
HIKE2 is a technology consulting firm that specializes in helping clients in regulated industries leverage emerging technologies to accelerate opportunities and efficiencies. The company provides expert consulting services at the intersection of technology, regulatory compliance, and strategic growth. HIKE2 empowers industries such as law firms, financial services, insurance companies, business service providers, and high-tech SaaS companies by offering tailored technology solutions that address complex challenges and improve engagement, efficiency, and growth outcomes. Their services include Artificial Intelligence, Data & Analytics, Cloud Solutions, and Salesforce, with a focus on holistic compliance strategy, ethical innovation, and strategic growth initiatives.
⢠Architect and build resolved identity and relationship foundations for financial services clients ⢠Own end-to-end MDM and relationship-graph architecture from data modeling through integration, data quality, and governance ⢠Design and configure match and merge logic, survivorship and trust rules, validation rules, and golden-record management ⢠Build entity resolution, golden records, relationship graphs, source-data pipelines, and master-data syndication ⢠Establish data-quality baselines and survivorship and stewardship operating models ⢠Define the identity seam between the client identity platform and MDM layer ⢠Set engineering standards and document a repeatable delivery approach ⢠Mentor and grow a small engineering team ⢠Collaborate with data governance, CRM and source-system owners, and business stakeholders ⢠Translate complex MDM concepts for technical and non-technical audiences ⢠Build crosswalks between source-system keys and canonical party identifiers ⢠Implement merge, unmerge, split handling, validation, and golden-record lifecycle management ⢠Model person, legal entity, household, account, relationship, hierarchy, crosswalk, and reference data domains ⢠Design relationship-graph ontology with effective dating ⢠Build profiling, data-quality rules, exception handling, steward workflows, issue queues, dashboards, and data dictionaries ⢠Design inbound/outbound integrations, ingestion jobs, change data capture, and real-time resolve-and-lookup services ⢠Translate authenticated identity claims into resolved party identifiers ⢠Manage cloud environments across development, test, QA, and production with performance tuning, monitoring, and cost awareness ⢠Build graph queries and traversals for multi-hop questions with explainable, evidenced assertions and effective dates ⢠Build for audit and regulatory review with lineage, decision logs, and traceable survivorship
⢠Ten to fifteen years in enterprise data engineering and architecture, with master data management delivered in production ⢠Ability to both architect and build MDM systems ⢠Financial services experience required; private and commercial banking strongly preferred ⢠Proven physical MDM design with a party model ⢠Experience resolving duplicated or unresolved entities upstream in identity ⢠Familiarity with enterprise identity platforms, including Ping ⢠Experience building for audit in a regulated industry, having survived a real audit or examination ⢠Experience with AI-assisted MDM, including intelligent match scoring, automated survivorship suggestions, and anomaly flagging ⢠Experience with banking systems such as Fiserv, Salesforce, Broadridge, and Fenergo ⢠Track record of mentoring or leading a small engineering team ⢠Consulting or client-facing delivery experience ⢠Exposure to externalized authorization or relationship-based access control ⢠Strong SQL and proficiency in Python, with Java or .Net as needed ⢠Hands-on experience with at least one enterprise MDM platform: Informatica MDM, Reltio, Semarchy, Ataccama, or Profisee ⢠Familiarity with data governance and quality tools such as Ab Initio or Collibra, and workflow tooling ⢠Experience with Azure-preferred modern cloud data stacks, medallion or lakehouse architecture ⢠Experience with Neo4j/Cypher or Cosmos DB/Gremlin ⢠Knowledge of KYC, AML, beneficial ownership requirements under the Bank Secrecy Act and USA PATRIOT Act ⢠Ability to handle PII, tokenization, and access controls appropriately ⢠Certifications are preferred, not mandatory ⢠Must reside in the U.S. and hold U.S. citizenship ⢠Must provide a valid LinkedIn profile ⢠Successful background check may be required
⢠Medical insurance ⢠Dental insurance ⢠Vision insurance ⢠401(k) ⢠Holiday pay ⢠Vacation ⢠Personal and family sick leave ⢠Reasonable accommodations during the hiring process
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