Description

You will design, implement, and govern enterprise-scale data and master data management (MDM) solutions. You will lead data domain modeling, canonical design, and integration architecture across complex, regulated ecosystems.

Responsibilities

• Define and own enterprise data architecture, MDM architecture, and domain-driven data models.
• Design MDM solutions (Registry, Consolidation, Coexistence, or Centralized styles) aligned to business needs.
• Establish canonical data models, semantic layers, and metadata standards for golden sources of truth.
• Architect data integration patterns using Kafka, APIs, CDC, and ETL/ELT pipelines.
• Establish data governance frameworks, stewardship models, and ownership structures.

Required Skills

• 10+ years in Data Architecture, MDM, or Enterprise Data roles.
• Strong experience in MDM tools: Reltio, Profisee, SAP MDG, Informatica MDM, or GoldenSource.
• Expertise in data modeling (Logical, Conceptual, Physical; 3NF, dimensional models).
• Experience with cloud data platforms: Azure, AWS, GCP, Databricks, Snowflake, or Dremio.
• Proficiency in Kafka, REST APIs, and integration patterns.
• Strong SQL skills; understanding of PL/SQL or similar.
• Experience defining golden record, survivorship rules, match merge strategies, and data quality frameworks.

Preferred Skills

• Domain experience in Asset Management, Capital Markets, or Banking.
• Knowledge of industry standards such as FIBO (Financial Industry Business Ontology).

Key Skills

Education

Any Graduate