Senior Enterprise Data Modeling Specialist

4 days ago

Rajahmundry, Andhra Pradesh, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Opportunity

The Client is seeking an experienced professional to fill a pivotal role as a Data Architect. This individual will be responsible for spearheading the development of scalable, domain-aligned data models in support of application decoupling and cloud-native service delivery.

This key position involves performing a comprehensive assessment of existing monolithic data models, with a focus on Oracle-based systems and legacy applications. The successful candidate will have expertise in data modeling, migration, and security, as well as excellent communication and collaboration skills.

The ideal candidate will possess:

  • 10+ years of experience in data architecture and enterprise data modeling.
  • 5+ years of experience working with Oracle (PL/SQL, schema design, performance tuning).
  • 3+ years of experience designing data models for microservices or distributed architectures.

This high-impact role requires strong technical skills, business acumen, and effective stakeholder management. The Data Architect will work collaboratively with cross-functional teams to align data models with service boundaries, ensuring seamless integration and optimal system performance.

The responsibilities of this position include:

  • Assessing and documenting existing relational data models, focusing on Oracle-based systems and legacy applications.
  • Identifying dependencies, shared schemas, and tightly coupled data entities across business domains.
  • Defining target-state logical and physical data models aligned with microservices and bounded context principles.
  • Designing data partitioning, ownership boundaries, and communication patterns between microservices.
  • Collaborating with application architects, integration teams, and domain owners to ensure data models align with service boundaries.
  • Providing guidance on data migration, transformation, and reconciliation strategies during the separation process.
  • Ensuring data security, compliance, normalization, and performance in target-state models.

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