Description

Description:

• We are looking for an experienced Retail Data Architect with strong expertise in modern data architecture, retail domain knowledge, and cloud-native database technologies.
• The ideal candidate will play a key role in rearchitecting and modernizing enterprise business applications and data models for scalable, high-performance platforms on GCP.

Key Responsibilities:

• Design and develop enterprise data models using Erwin for both OLTP and OLAP environments, including support for JSON and mixed data types.
• Create and optimize modernized web application data models focused on scalability, performance, and efficient application processing. Reverse engineer existing data models and transform them into future-state architectures aligned with business and technical requirements.
• Lead data modelling efforts for modernization and re-architecture initiatives across enterprise applications. Define and implement data governance and data management best practices.
• Evaluate and recommend appropriate database technologies on GCP for structured and unstructured datasets. Work across multiple database technologies including DB2, Cloud SQL, AlloyDB, BigQuery, and related platforms. Collaborate with cross-functional teams to understand retail business processes, module interdependencies, and enterprise data elements.
• Support Domain Driven Design (DDD) principles and architectural best practices in solution design. Guide and mentor junior data modelers and architects within an onsite-offshore delivery model.

Required Skills & Qualifications:

• Strong hands-on experience with Erwin Data Modeling tools. Expertise in designing OLTP and OLAP data models, including JSON-based and complex data structures.
• Experience building high-performance data models for modern web applications.
• Strong understanding of data governance, metadata management, and data management principles.
• Experience with GCP database selection strategies and cloud-native architecture.
• Hands-on experience with technologies such as DB2, Cloud SQL, AlloyDB, BigQuery, and other modern database platforms.
• Strong retail domain experience with understanding of retail workflows, business processes, and data dependencies.
• Proven experience in rearchitecting legacy application data models for modern technology stacks.
• Ability to reverse engineer and modernize complex enterprise data models.
• Strong communication and leadership skills with experience working in onsite-offshore delivery models.

Preferred Qualifications:

• Experience with enterprise modernization and digital transformation initiatives.
• Prior experience leading data architecture discussions with business and technical stakeholders.
• Exposure to cloud-native application architectures and distributed systems

Key Skills

Education

Any Graduate