Description

Cognizant (NASDAQ: CTSH) is a leading provider of information technology, consulting, and business process services, dedicated to helping the world's leading companies build stronger businesses. Headquartered in Teaneck, New Jersey (U.S.), Cognizant combines a passion for client satisfaction, technology innovation, deep industry and business process expertise, and a global, collaborative workforce that embodies the future of work. Cognizant is a member of the NASDAQ-100, the S&P 500, the Forbes Global 2000, and the Fortune 500 and is ranked among the top performing and fastest growing companies in the world.

Our Culture

Your passion, integrity and experience are integral to Cognizant's success. You will join a dynamic and expanding global leader in IT and Business consultancy where you will be valued for who you are. We take pride in our partnership with our clients, so your ability to add value and provide exceptional service to our clients is fundamental to your success. In return, you will be presented with opportunities to develop your career and collaborate with talented colleagues in a supportive, diverse environment.

At Cognizant we recognize that companies that are open and welcoming to a multi-culturally diverse workforce will thrive with fresh perspectives and collaborative knowledge. Cognizant focuses on promoting & increasing gender diversity and providing a workplace which encourages great participation and an equal playing field, where merit and accomplishment are the only criteria for success.

Job Summary:

Data Modeler will be responsible for designing developing and maintaining data models that support business intelligence analytics and operational systems . This role collaborates closely with stakeholders business analysts and IT teams to ensure data structures are efficient scalable and aligned with organizational objective.

Responsibilities

• Lead conceptual, logical, and physical data modelling for cloud data platform use cases (reporting, analytics, and data products) on Snowflake.

• Translate business requirements into scalable data structures (e.g., dimensional models, data vault patterns where relevant, and normalized models for curated domains).
• Build and maintain ELT pipelines on Snowflake (curated layers, marts), partnering with ingestion teams to ensure reliable end-to-end data flow.
• Develop and optimize Snowflake database objects (schemas, tables, views) and implement transformation logic using SQL and/or dbt where applicable.
• Apply Snowflake performance and cost optimisation techniques (warehouse sizing, query tuning, pruning/clustering considerations, and efficient design patterns).
• Implement data quality checks, reconciliation controls, and monitoring/alerting to improve trust and reduce incidents.
• Collaborate with governance and security stakeholders to classify data, define access patterns (roles, masking, row-level policies), and ensure compliance with client controls.
• Produce and maintain source-to-target mappings, canonical models, and documentation (data dictionaries, lineage, and model diagrams).
• Work in Agile delivery (backlog refinement, sprint planning, reviews) and provide estimates for modelling and engineering deliverables.

• Translate business requirements into scalable data structures (e.g., dimensional models, data vault patterns where relevant, and normalized models for curated domains).
• Partner with data engineers to align modelling decisions with ingestion, ELT/ETL patterns, and downstream consumption (Power BI/semantic layers, data sharing).
• Design Snowflake-optimized physical models (clustering considerations, partitioning/micro-partition behavior awareness, materialized views where appropriate) and support query performance and cost optimization.
• Support source-to-target mappings, canonical models, and integration patterns across multiple source systems.
• Drive model reviews, maintain model documentation, and ensure traceability from requirements to implemented structures.

Required Skills and Experience:

• 7+ years of experience across data modelling and data engineering for enterprise data platforms (mining/resources exposure is a plus).

• Strong hands-on Snowflake experience delivering data engineering solutions (schema design, ELT development, and supporting production operations/performance).
• Advanced SQL skills for transformation development, data profiling, and validation/reconciliation.
• Expertise in dimensional modelling (star/snowflake schemas), conformed dimensions, and fact design for analytics.
• Experience producing conceptual/logical models and translating them into physical implementations.
• Experience with modern ELT patterns and tooling (dbt strongly preferred) and understanding of orchestration approaches (e.g., Airflow or similar).
• Working knowledge of DevOps practices for data: Git, code reviews, CI/CD, environment promotion, and release/change management.
• Working knowledge of data governance concepts: critical data elements, metadata, data quality, and stewardship processes.
• Strong stakeholder communication skills, able to facilitate workshops and explain modelling/engineering trade-offs.

• Hands-on Snowflake experience (designing schemas, understanding Snowflake features and how they impact modelling, and supporting performance tuning in partnership with engineering teams).
• Strong SQL skills (data profiling, validation queries, and supporting model-driven transformations).
• Expertise in dimensional modelling (star/snowflake schemas), conformed dimensions, and fact design for analytics.
• Experience producing conceptual/logical models and translating them into physical implementations.
• Working knowledge of data governance concepts: critical data elements, metadata management, data quality, and stewardship processes.
• Experience collaborating with ETL/ELT teams and understanding modern data pipeline patterns (batch and near-real-time).
• Ability to communicate effectively with both technical and non-technical stakeholders, facilitating workshops and model walkthroughs.

Benefits:

Joining Cognizant will give you the opportunity to learn and collaborate with some of the most talented people in the industry, while having your finger on the pulse of emerging industry trends and working on the cutting edge of technology in your field of expertise.

We recognize that our people perform at their best when they feel valued as significant contributors and that is why at Cognizant, taking care of our employees is a priority:

• You can pursue innovative career tracks and opportunities here

• You can enhance your professional development through education and dedicated training

• We'll give you the skills you need to keep pace with the changing workplace while our compensation, benefits and wellness packages help you stay healthy and plan for the future.

Next Steps:

Please reach out to our friendly and welcoming team today to apply and register your interest for this full-time role. We'd love to help you get your next role and enable you to fulfil your professional ambitions.