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.