Data Modeler

We are seeking an accomplished Senior Data Modeler / Associate Data Architect with strong expertise in designing scalable enterprise data solutions. The ideal candidate will have hands-on experience building conceptual, logical, and physical data models, enabling enterprise-wide data governance, and leading cloud-based data modernization initiatives.

You will collaborate with cross-functional business and engineering teams to define robust data architecture, build optimized data processing layers, and guide teams through implementation best practices across OLTP, OLAP, and modern cloud environments.

Key Responsibilities

Data Architecture & Modelling

Design, develop, and maintain conceptual, logical, and physical data models for OLTP, OLAP, data warehouses, and cloud platforms.

Apply Medallion architecture , ER modeling, dimensional modeling (Star / Snowflake), Data Vault, and advanced data modeling techniques.

Build reusable intermediary data layers and physical consumable views for data marts.

Ensure alignment of data models with enterprise architecture and business requirements.

Requirement Gathering & Documentation

Partner with business / product teams to understand processes, gather requirements, and translate them into high-level specifications.

Develop data mapping , source-to-target documents, metadata documentation, and lineage diagrams.

Data Governance & Quality

Implement and oversee data governance frameworks , data retention policies, and data quality rules.

Use data observability tools and automated anomaly detection mechanisms.

Maintain business glossaries, reference data, and data dictionaries.

Cloud Platforms & Engineering Collaboration

Work extensively on cloud platforms such as Snowflake, BigQuery, and GCP ; contribute to cloud solution architecture.

Guide engineers in ETL / ELT design, Snowflake implementation, and performance optimization.

Support DevOps, DataOps, and CI / CD data pipelines.

Stakeholder Management & Leadership

Act as the principal reviewer for all data models and architecture artifacts across projects.

Mentor and coach junior modelers, analysts, and engineers.

Communicate insights and recommendations to senior stakeholders.

Migration & Modernization Projects

Lead data migration initiatives across BFSI, healthcare, or enterprise domains.

Conduct profiling, lineage analysis, performance tuning, and schema optimization.

Review stored procedures, database objects, triggers, and business logic.

Required Skills & Expertise

Core Competencies

Enterprise Data Architecture, Medallion Architecture

Data Modelling (Conceptual, Logical, Physical)

OLTP, OLAP, Dimensional Modelling (Star / Snowflake)

Data Governance, Metadata Management, Master Data

ETL / ELT & Data Warehousing

Agile, Scrum, Waterfall SDLC

Technical Skills

Cloud : GCP (BigQuery), Snowflake

Databases : Oracle, SQL Server, NoSQL

Modeling Tools : ER / Studio

ETL Tools : Ab Initio

Visualization : Power BI, Tableau

Strong SQL expertise—analytical functions, indexing, optimization, partitioning, query tuning

Knowledge of Snowflake features : Snowpipes, Streams, Tasks, zero-copy cloning

Preferred Qualifications

Bachelor’s degree in Computer Applications or related field

Experience in BFSI, healthcare, insurance, or enterprise-scale systems

Certifications (preferred) :

Cisco Data Analytics Essentials

Certified Data Management Professional (CDMP)