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.
