Description

You will lead the design and implementation of the Enterprise Data Ecosystem, a cloud-based architecture that provisions data to enable service delivery.

Responsibilities

• Define, create, and enhance business-oriented data models, delivering conceptual, logical, and physical models based on business rules.
• Design and implement requirements-driven cloud data solutions, ensuring data integrity, availability, and traceability across the lifecycle.
• Lead the enhancement of the enterprise-wide data architecture to meet current and future business needs.
• Establish and apply enterprise data management principles and standards across the organization.
• Translate business concepts and logic into technical requirements for data engineers and team members.

Required Skills

• 10+ years of relevant professional experience.
• Expertise in data modeling, including entity-relationship modeling.
• Experience designing with cloud data solutions, considering data quality, governance, and scalability.
• Proficiency with data technologies including Redshift, RDS, PostgreSQL, DynamoDB, DMS, S3, Glue, and Orchestration.
• Ability to collaborate with Enterprise Architects, Solution Architects, and Data Scientists on architecture evolution.
• Experience in Continuous Integration / Continuous Delivery (CI/CD) for cloud applications.
• Skill in writing clear, concise, and accurate architecture documentation.

Preferred Skills

Key Skills

Education

Any Gradute