01Overview
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. .
