Description

You will design and govern enterprise data architecture solutions.

Responsibilities

• Drive the establishment of a single source of truth across data domains.
• Facilitate complex data modeling sessions with stakeholders.
• Build and scale cloud and on-prem data solutions.
• Mentor teams on enterprise data architecture best practices.

Required Skills

• 15+ years of experience in data architecture.
• Expertise in ER/Logical/Physical data modeling using Erwin.
• Proficiency in Kimball and Inmon data warehousing methodologies.
• Hands-on experience with Snowflake and Oracle Exadata.
• Strong capability in SQL performance tuning and Python scripting.
• Experience with event-driven or data mesh architectures.
• Familiarity with financial services data domains (accounts, cards, payments).
• Knowledge of MongoDB and general Data Warehouses.
• Ability to apply Data Modeling principles.

Preferred Skills

• Experience with Power BI and Splunk.
• Familiarity with data catalog tools like Alation or Collibra.

Key Skills

Education

Any Gradute