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Data Modeler
Data ModelerTror AI for everyone • Tampa, Florida, USA
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Data Modeler

Data Modeler

Tror AI for everyone • Tampa, Florida, USA
[job_card.30_days_ago]
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  • [job_card.full_time]
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Role : Data Modeler

Location : Tampa FL (Hybrid)

Key Responsibilities

Enterprise Data Modeling and Architecture

  • Lead the design and delivery of conceptual logical and physical data models for enterprise data domains and data products (operational and analytic).
  • Develop harmonized reusable and governed data models that support single-source-of-truth design principles.
  • Establish and maintain modeling standards including naming conventions dimensional modeling patterns SCD2 strategies surrogate key methodologies lineage documentation and data enrichment frameworks.
  • Design models to support high-volume incremental ingestion (CDC) complex history tracking and auditable data transformations.
  • Produce and maintain full metadata and lineage documentation through approved tools (e.g. ER / Studio Unity Catalog).

Integration Data Engineering Enablement and Delivery

  • Create detailed source-to-target mappings aligned to model definitions and business rules to support data engineering development.
  • Partner with data pipeline engineering to validate build quality ensure model fidelity in pipelines and support UAT and performance testing.
  • Contribute to database and datamart design for analytics solutions including fact and dimension architectures semantic layers and data consumption optimization.

    • Performance Quality and Governance

  • Validate data model performance characteristics; recommend indexing partitioning and clustering strategies for the data platform.
  • Collaborate with Data Governance to ensure data definitions standards quality rules and ownership are aligned to enterprise data strategy.
  • Design models emphasizing security classification access permissions compliance obligations and auditability.

    • Stakeholder Engagement

  • Serve as a trusted advisor to product owners business leaders and analytics users translating business requirements into data structures that support meaningful insights.
  • Communicate tradeoffs and design alternatives when evaluating new use cases or changes to the enterprise model.
  • Contribute to roadmap planning for enterprise data domains and long-term architectural evolution.

    • Qualifications

  • Required
  • Bachelors or Masters degree in Computer Science Information Systems or a related discipline.
  • 7 years of progressive experience in data modeling database design and data architecture.
  • Demonstrated expertise with relational and dimensional modeling (3NF and star schema design).
  • Proficiency with cloud-based modern data stack environments (Azure preferred; Databricks experience highly valued).
  • Strong proficiency with SQL for model validation profiling and optimization.
  • Experience with data modeling tools such as ER / Studio ERwin DB Schema or equivalent.
  • Hands-on experience supporting data warehouses datamarts and metadata-driven modeling approaches.
  • Experience supporting data ingestion and CDC design patterns and SCD2 data history strategy.
  • Strong attention to detail regarding data quality lineage governance and documentation.
  • Excellent communication skills with proven ability to clearly articulate design rationale to technical and non-technical audiences.
  • Preferred
  • Experience in the insurance or financial services industry with knowledge of policy client and revenue data structures.
  • Familiarity with ETL / ELT orchestration tools (Fivetran Airflow MuleSoft) and distributed processing frameworks (Spark).
  • Experience with semantic modeling layers (e.g. Tableau semantic layer dbt metrics or similar).
  • Certification in cloud platforms (Azure Data Engineer AWS Data Analytics or equivalent).

    • Thanks Regards

    Amarthya Sripada

    Key Skills

    Atl,CMMS,ABAP,Community Support,CRM,Fleet

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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