Data Modeler, Enterprise Data Platform 9+ Years (Data modeling, Data architecture, BI data design) and (AWS and Databricks), Power BI

Western Digital

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profile Job Location:

Bengaluru - India

profile Monthly Salary: Not Disclosed
Posted on: 28-10-2025
Vacancies: 1 Vacancy

Job Summary

About the Role 

We are seeking an experienced Data Modeler to design and evolve the data architecture and semantic foundation for our enterprise Data Lakehouse platform spanning Databricks Apache Iceberg AWS (Glue Glue Catalog SageMaker Studio) Dremio Atlan and Power BI. 

In this role you will translate business requirements into conceptual logical and physical models ensuring that data is standardized canonical and business-ready as it flows across the Bronze (raw) Silver (canonical) and Gold (curated/consumption/semantic) layers. 

You will play a central role in implementing canonical data models at the Silver layer enabling consistency across systems and simplifying downstream consumption in Power BI dashboards ML models in SageMaker Studio and conversational analytics with LLMs. 

 

Key Responsibilities 

Data Modeling & Architecture 

  • Design conceptual logical and physical models to support ingestion curation and consumption in a modern lakehouse. 

  • Define canonical data models at the Silver layer to harmonize data across domains and source systems. 

  • Implement modeling patterns (dimensional modeling star/snowflake data vault semantic modeling) aligned with enterprise standards. 

  • Optimize physical models for Databricks Delta and Apache Iceberg tables ensuring schema evolution partitioning and performance. 

Semantic Layer & Business Enablement 

  • Build and maintain the semantic layer in Dremio and Power BI ensuring certified KPIs hierarchies and measures align with canonical models. 

  • Provide certified and reusable datasets to BI teams for dashboards and reporting. 

  • Collaborate with business stakeholders to align semantic definitions with canonical data models. 

 

AI/ML & Conversational Analytics Enablement 

  • Prepare feature-ready canonical datasets for ML engineers and data scientists in SageMaker Studio. 

  • Design models that can be effectively consumed by LLM-powered conversational analytics (natural language SQL queries over curated data). 

  • Ensure AI/BI queries map back to trusted canonical models reducing ambiguity and duplication. 

Governance Certification & Metadata 

  • Document canonical and semantic models in Atlan and AWS Glue Catalog ensuring discoverability and lineage. 

  • Collaborate with Data Quality Engineers to embed validation and certification rules into canonical models. 

  • Align canonical modeling with business glossaries standards and compliance requirements. 

Collaboration & Best Practices 

  • Translate business requirements into canonical and semantic modeling patterns. 

  • Partner with architects engineers and analysts to define standards for canonical modeling in the Silver layer. 

  • Mentor junior team members on canonical modeling and semantic design principles. 


Qualifications :

Required 

  • 510 years of experience in data modeling data architecture or BI data design. 

  • Strong knowledge of conceptual logical physical and canonical data modeling. 

  • Experience with dimensional modeling (Kimball) data vault and semantic modeling. 

  • Hands-on with Databricks (Delta Lake Unity Catalog) and Apache Iceberg. 

  • Familiarity with AWS services (S3 Glue Glue Catalog Redshift SageMaker Studio). 

  • Experience with Dremio or similar query/semantic engines. 

  • Proficiency with Power BI modeling DAX and dataset certification. 

  • Experience with Atlan (or equivalent catalog/governance tools). 

Preferred 

  • Experience implementing canonical data models at enterprise scale. 

  • Familiarity with LLM-driven conversational analytics and preparing canonical/semantic data for AI consumption. 

  • Knowledge of data quality principles and certification workflows. 

  • Familiarity with data observability platforms. 

  • Cloud certifications: AWS Data Analytics Specialty Databricks Certified Data Engineer/Architect. 


Additional Information :

Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race color ancestry religion (including religious dress and grooming standards) sex (including pregnancy childbirth or related medical conditions breastfeeding or related medical conditions) gender (including a persons gender identity gender expression and gender-related appearance and behavior whether or not stereotypically associated with the persons assigned sex at birth) age national origin sexual orientation medical condition marital status (including domestic partnership status) physical disability mental disability medical condition genetic information protected medical and family care leave Civil Air Patrol status military and veteran status or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster.

Western Digital thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at to advise us of your accommodation your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

 

#LI-RR1

Based on our experience we anticipate that the application deadline will be 10/25/2024 although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline we will update this posting with a new anticipated application deadline.

Western Digital thrives on the power and potential of diversity. As a global company we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees our company our customers and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging respect and contribution.

Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at  to advise us of your accommodation your email please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Notice To Candidates: Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests please report it immediately to Western Digital Ethics Helpline or email .


Remote Work :

No


Employment Type :

Full-time

About the Role We are seeking an experienced Data Modeler to design and evolve the data architecture and semantic foundation for our enterprise Data Lakehouse platform spanning Databricks Apache Iceberg AWS (Glue Glue Catalog SageMaker Studio) Dremio Atlan and Power BI. In this role you will transla...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For ... View more

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