Job Description: AWS Data Modeller
Key Skills: AWS | Databricks | Semantic Modeling | Tableau Reporting | Data Migration
Role Summary
Seeking an AWS Data Modeller with strong data migration experience to design scalable data models, semantic layers, and reporting-ready datasets across AWS and Databricks platforms, enabling governed Tableau reporting and business-ready analytics.
Key Responsibilities
· Design conceptual, logical, and physical data models for AWS-based data platforms.
· Support data migration activities including source assessment, mapping, transformation rules, validation, and reconciliation.
· Develop dimensional, semantic, and reporting-ready data structures for Tableau consumption.
· Collaborate with business, architecture, engineering, and BI teams to translate requirements into data models.
· Define source-to-target mappings, data dictionaries, metadata, lineage, and data quality rules.
· Support Databricks lakehouse design, curated data layers, and performance-focused modelling standards.
· Ensure model quality, governance, security, scalability, and reporting alignment across analytics use cases.
Must-Have Skills
Skill | Expectation |
Data Migration | Must have experience in migration planning, source-to-target mapping, transformation rules, data validation, reconciliation, and cutover support. |
AWS | Strong understanding of AWS data services such as S3, Glue, Redshift, Athena, IAM, and Lake Formation. |
Databricks | Experience with lakehouse concepts, Delta Lake, curated layers, and data engineering collaboration. |
Semantic Modeling | Ability to define business entities, metrics, dimensions, relationships, and reusable semantic models. |
Tableau Reporting | Experience designing reporting-ready datasets and optimized models for Tableau dashboards. |
SQL & Data Modelling | Strong SQL, dimensional modelling, ER modelling, data profiling, and source-to-target mapping skills. |
Preferred Qualifications
· 13+ years of experience in data modelling, data warehousing, BI, migration, or cloud data platform projects.
· Hands-on exposure to AWS, Databricks, data modernization, and legacy-to-cloud migration programs.
· Knowledge of data quality, governance, access controls, and enterprise reporting standards.
· AWS, Databricks, or Tableau certification is an added advantage.
Expected Deliverables
· Logical and physical data models, semantic model definitions, and reporting-ready datasets.
· Migration mappings, transformation rules, data dictionary, lineage, validation rules, and modelling documentation.
· Tableau-aligned data structures supporting scalable, governed, and self-service analytics.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
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