Job Description

Job Title: Sr. Data Modeller

Experience Required: 7+ years

Location: Remote

About the Role

We are looking for experienced Data Modelers who have worked on data-intensive projects in one or

more of the following industries:

Telecommunications (Telco)
Financial Services & Banking
Media & Entertainment
Government/Public Sector
This is a specialist role at the intersection of data architecture, domain expertise, and AI/ML readiness.

You will be responsible for designing robust, scalable data models that reflect the operational, analytical,

and regulatory realities of the industries mentioned. These models will serve as the foundational structure

for training ML models, building enterprise-grade data products, and driving AI transformation programs.

Key Responsibilities

Understand domain-specific business processes, data flows, and terminologies to create accurate and
practical conceptual, logical, and physical data models.

Work closely with data scientists, ML engineers, and industry SMEs to translate use cases into
structured data representations suitable for ML training.

Design and document industry-specific ontologies, data taxonomies, entity relationships, and schemas
that can support AI/ML development pipelines.

Ensure that data models adhere to data governance, quality, and compliance standards specific to each
domain (e.g., PCI-DSS, APRA, GDPR, or government data classification frameworks).

Collaborate with stakeholders to iterate on the model based on real-world feedback, business logic, and
evolving data needs.

Required Skills & Experience

Proven experience as a Data Modeler or Data Architect on large-scale projects in one or more of the
listed industries.

Strong understanding of industry data domains, including customer data, product data, transactions,
network data, media assets, case files, etc.

Proficiency in data modeling tools (e.g., Erwin, ER/Studio, PowerDesigner, or equivalent).
Ability to create conceptual, logical, and physical models aligned with business use cases.
Familiarity with ML data preparation, feature engineering concepts, and how structured data models
enable model training and performance.

Strong grasp of metadata management, data lineage, and data cataloging practices.
Excellent communication skills and ability to engage both technical and non-technical stakeholders.
Preferred Qualifications

Experience working with AI/ML teams or product teams building AI-driven applications.
Exposure to knowledge graphs, ontologies, or semantic modeling.
Familiarity with data lakes, lake houses, and modern data platforms like Databricks, Snowflake, or Big
Query.

Hands-on understanding of data privacy, ethics, and regulatory concerns in respective industries.
Why Join?

Work on cutting-edge AI/ML projects at the data design level.
Shape foundational assets that directly impact enterprise AI strategy.
Collaborate with a high-caliber cross-functional team of data scientists, engineers, and domain
specialists.

Be a part of industry innovation through data and AI.
Interview Structure & Candidate's Availability

? Immediate joiners

? 3 rounds of interview

Job Types: Full-time, Contractual / Temporary
Contract length: 12 months

Pay: ?70,000.00 - ?80,000.00 per month

Benefits:

* Work from home