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Data Modeler

Data Modeler

AscendionTiruppur, IN
11 hours ago
Job description

The Principal Data Modeler / Architect will lead a critical database modernization initiative to reverse engineer, redesign, and normalize our existing OLTP data architecture. This role requires a seasoned data professional who can analyze complex legacy systems, identify architectural debt, and execute a comprehensive schema refactoring strategy while ensuring zero business disruption. The ideal candidate combines deep expertise in data modeling, normalization principles, and large-scale database migration with strong collaboration skills to coordinate cross-functional teams through this transformation.

Experience in the EdTech domain is a plus.

Primary Objective

Reverse engineer our existing large-scale OLTP database, analyze current denormalized structures, and redesign the data model following normalization best practices while optimizing for performance, maintainability, and scalability in a modern SaaS environment.

Key Responsibilities

Database Analysis & Reverse Engineering

  • Reverse engineer existing OLTP databases to create comprehensive conceptual, logical, and physical data models
  • Analyze current schema design to identify denormalization patterns, data redundancies, integrity issues, and architectural debt
  • Profile existing data quality, identify anomalies, inconsistencies, and constraint violations
  • Document current state architecture, data flows, and integration points

Schema Redesign & Normalization

  • Redesign database schema by applying normalization principles (1NF through BCNF) to eliminate redundancy and improve data integrity
  • Create optimized conceptual, logical, and physical data models for the target state architecture
  • Design migration paths that maintain referential integrity and business rule enforcement
  • Identify opportunities for strategic denormalization where justified by performance requirements

    • Migration Strategy & Execution

  • Develop comprehensive migration strategies with minimal or zero downtime requirements
  • Design data transformation logic to migrate from denormalized to normalized structures
  • Create phased migration approaches using patterns such as strangler fig, dual-write, or shadow databases
  • Implement data validation and reconciliation frameworks to ensure migration accuracy
  • Develop rollback strategies and contingency plans for migration phases
  • Coordinate database deployment using CI / CD pipelines and migration tools

    • Performance Optimization & Tuning

  • Benchmark existing system performance to establish baselines
  • Optimize new schema design through indexing strategies, partitioning, and query optimization
  • Conduct load testing and performance validation pre and post-migration
  • Fine-tune database configuration, connection pooling, and caching strategies for AWS Aurora PostgreSQL
  • Ensure normalized design meets or exceeds current performance benchmarks

    • Data Governance, Security & Compliance

  • Ensure redesigned data model maintains compliance with relevant standards (GDPR, HIPAA, FERPA for EdTech)
  • Implement data governance policies, access controls, and security measures in new architecture
  • Define and enforce data quality standards throughout migration process
  • Establish data lineage and metadata management for new structures

    • Documentation & Knowledge Transfer

  • Create comprehensive documentation including data models, schema specifications, migration procedures, and data dictionaries
  • Develop data flow diagrams, entity-relationship diagrams, and architecture decision records
  • Document rationale for normalization decisions and any strategic denormalization
  • Create runbooks for migration execution and rollback procedures
  • Provide knowledge transfer sessions to technical teams

    • Required Skills & Qualifications

    Data Modeling & Database Expertise

  • 10+ years of hands-on experience in data modeling and database design
  • 5+ years of experience reverse engineering and refactoring large-scale OLTP databases
  • Expert-level understanding of database normalization theory and practical application (1NF through 5NF, BCNF)
  • Deep expertise in both forward and reverse engineering of data models
  • Proven track record of successful database modernization and schema refactoring projects
  • In-depth knowledge of relational database design principles, patterns, and anti-patterns

    • Technical Proficiency

  • Expert-level SQL skills and extensive experience with PostgreSQL (required)
  • Proficiency with additional RDBMS platforms (SQL Server, Oracle, MySQL)
  • Hands-on experience with AWS Aurora PostgreSQL or similar cloud-based database platforms
  • Strong expertise in data modeling tools ( erwin, SqlDBM, ER / Studio, or similar )
  • Experience with database migration and version control tools
  • Familiarity with database comparison and schema diff tools
  • Knowledge of database DevOps practices and CI / CD pipeline integration
  • Experience with cloud platforms (AWS, Azure, GCP) and cloud-native database services
  • Relevant certifications (AWS Certified Database Specialty, PostgreSQL certifications) are advantageous
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