Data Architect - MDM

Job Title: Associate Data Architect – Master Data Management (MDM)

Location:

Pune - Hybrid

Experience:

10+ years of experience in Data Architecture, Data Engineering/Integration with strong exposure into Data Modelling and Database (RDBMS) Management.

About the Role

We are seeking an Associate Data/Database Architect to join our core product architecture team building an enterprise-grade, multi-domain Master Data Management (MDM) product platform.

You will play a key role in optimizing and extending the MDM data model, implementing efficient data ingestion and entity resolution mechanisms, and ensuring the system supports multiple domains such as Party (Individual/Organization), Product, Location, Policy, and Relationship in a cloud-native and scalable manner.

Key Responsibilities

Data Modeling & Architecture

• Enhance and extend the existing Party-based data model into a multi-domain MDM schema (Party, Product, Location, Relationship, Policy, etc.).
  
• Design and maintain canonical data models and staging-to-core mappings for multiple source systems.
  
• Implement auditability, lineage, and soft-delete frameworks within the MDM data model.
  
• Contribute to the creation of golden records, trust scores, match/merge logic, and data survivorship rules.
  
• Ensure the model supports real-time and batch data mastering across multiple domains.
  

Data Engineering & Integration

• Help support to optimize data ingestion and ETL/ELT pipeline using Python, PySpark, SQL, and/or Informatica (or equivalent tools).
  
• Design and implement data validation, profiling, and quality checks to ensure consistent master data.
  
• Work on data harmonization, schema mapping, and standardization across multiple source systems.
  
• Help build efficient ETL mappings from canonical staging layers to MDM core data models in PostgreSQL.
  
• Develop REST APIs or streaming pipelines (Kafka/Spark) for real-time data processing and entity resolution.
  

Cloud & Platform Engineering

• Implement and optimize data pipelines on AWS or Azure using native services (e.g., AWS Glue, Lambda, S3, Redshift, Azure Data Factory, Synapse, Data Lake).
  
• Deploy and manage data pipelines and databases following cloud-native, cost-effective, and scalable design principles.
  
• Collaborate with DevOps teams for CI/CD, infrastructure-as-code, data pipeline and database deployment/migration automation.
  

Governance, Security & Compliance

• Implement data lineage, versioning, and stewardship processes.
  
• Ensure compliance with data privacy and security standards (GDPR, HIPAA, etc.).
  
• Partner with Data Governance teams to define data ownership, data standards, and stewardship workflows.
  

Requirements

Technical Skills Required

Core Skills

• Data Modelling: Expert-level in Relational (3NF) and Dimensional (Star/Snowflake) modelling; hands-on in Party data model, multi-domain MDM, and canonical models.
  
• Database: PostgreSQL (preferred), or any enterprise RDBMS.
  
• ER Modelling Tool – Erwin/ERStudio, Database Markup Language (DBML).
  
• ETL / Data Integration: Informatica, Python, PySpark, SQL, or similar tools.
  
• Cloud Platforms: AWS or Azure.
  
• Programming: Advanced SQL, Python, PySpark, and/or UNIX/Linux scripting.
  
• Data Quality & Governance: Familiarity with data quality rules, profiling, match/merge, and entity resolution.
  
• DevOps - Version Control & CI/CD: Git, Azure DevOps, Jenkins, Terraform, Redgate Flyway (preferred)
  

Database Design & Optimization (PostgreSQL)

• Design and maintain normalized and denormalized models using advanced features (schemas, partitions, views, CTEs, JSONB, arrays).
  
• Build and optimize complex SQL queries, materialized views, and data marts for performance and scalability.
  
• Tune RDBMS (PostgreSQL) performance – indexes, query plans, vacuum/analyze, statistics, parallelism, and connection management.
  
• Leverage RDBMS (PostgreSQL) extensions such as:
  
• pg_trgm for fuzzy matching and probabilistic search.
  
• fuzzystrmatch, pg_vector for semantic similarity and name matching.
  
• hstore, jsonb for flexible attribute storage.
  
• Implement RBAC, row-level security, partitioning, and logical replication for scalable MDM deployment.
  
• Work with stored procedures, functions, and triggers for data quality checks and lineage automation.
  
• Implement HA/DR, backup/restore, database-level encryption (at-rest, in-transit), column-level encryption for PII/PHI data.
  

Good to Have

• Knowledge of Master Data Management (MDM) - Customer, Product etc.
  
• Experience with graph databases like Neo4j for relationship and lineage tracking.
  
• Knowledge of probabilistic and deterministic matching, ML-based entity resolution, or AI-driven data mastering.
  
• Experience in data cataloging, data lineage tools, or metadata management platforms.
  
• Familiarity with data security frameworks and Well-Architected Framework principles.
  

Soft Skills

• Strong analytical, conceptual and problem-solving skills.
  
• Ability to collaborate in a cross-functional, agile environment.
  
• Excellent communication and documentation skills.
  
• Self-driven, proactive, and capable of working with minimal supervision.
  
• Strong desire to innovate and build scalable, reusable data frameworks.
  

Education

• Bachelor’s or master’s degree in computer science, Information Technology, or related discipline.
  
• Certifications in AWS/Azure, Informatica, or Data Architecture are a plus.
  

Benefits

Why Join Us

• Be part of a cutting-edge MDM product initiative blending data architecture, engineering, AI/ML, and cloud-native design.
  
• Opportunity to shape the next-generation data mastering framework for multiple industry domains.
  
• Gain deep exposure to data mastering, lineage, probabilistic search, and graph-based relationship management.
  
• Competitive compensation, flexible working and a technology-driven culture.