Job Description & How to Apply Below
Job Title
- Data Architect
Location
- Bangalore, Pan India
Mode
- Onsite
Job Type: Full-Time
Overview
We are looking for a highly capable Data Analyst / Data Modeler / Data Architect to support a major enterprise data transformation programme, the Data Integration Hub (DIH).
This role sits within a high-performing Data Architecture & Engineering function and will play a key part in delivering clean, reconciled, and business-ready data into our analytical platforms.
You will work at the heart of the programme, bridging business requirements, data modelling, and engineering delivery.
Key Responsibilities
· Analyse complex datasets to understand structures, relationships, and data quality issues
· Define source-to-target mappings and detailed transformation logic
· Develop and maintain conceptual, logical, and physical data models
· Translate requirements into clear pseudo-logic and implementation-ready specifications
· Perform data reconciliation and variance analysis between legacy and new platforms
· Identify and resolve data issues through structured root cause analysis
· Support testing and validation activities during key delivery and go-live phases
· Work closely with Data Engineers, Architects, and business stakeholders to ensure delivery of high-quality data
Skills & Experience
· Strong experience in data modelling (conceptual, logical, physical)
· Proven capability in data analysis and source-to-target mapping
· Advanced SQL skills for profiling, validation, and complex queries
· Experience defining transformation logic / pseudo-code for data pipelines
· Good understanding of data warehousing and ETL/ELT processes
· Strong problem-solving and data debugging skills
· Experience working in complex, multi-system data environments
· Knowledge of PySpark, Spark
SQL advantageous to the role
What We’re Looking For
· A hands-on, detail-oriented data specialist who thrives in complex environments
· Someone who can bridge business and engineering with clarity and structure
· Strong communicator, comfortable working with distributed teams within Data Architecture & Engineering function and across external functions
· Experience in data reconciliation, quality, and governance-driven programmes is highly desirable
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