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Senior Data Modeler Consultant

Devoteam
الرياض, KSA
Full Time
Senior
18 months ago
SQLData ModelingER/StudioErwinSnowflakeBigQuery
Free

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Summary Introduction

  • Design, implement, optimize enterprise data architecture and models that represent complex data using relational, dimensional, and NoSQL databases.
  • Ensure data is structured for high performance, clarity, and long term scalability across both operational and analytical systems.
  • Data Modeler will be the translator between business stakeholders and data engineering teams.

Key Responsibilities

  • Assessment Review current data models to understand the AS IS environment.
  • Conceptual, Logical, and Physical Modeling Plan, design and maintain blueprints of the TO BE data models for OLTP, OLAP, and Enterprise Data Lakehouse environments.
  • Business Alignment Understand business processes and translate them into robust data requirements.
  • Multi Paradigm Modeling Designing 3NF for transactional databases, Dimensional Models (Kimball/Star Schema) for data warehousing, and Data Vault 2.0 for scalable enterprise data lakes.
  • Data Quality Transform unstructured data into structured data by fixing errors, eliminate redundancies.
  • Performance Optimization Optimize query performance through smart indexing, partitioning, and materialization strategies.
  • Data Governance Establish, enforce and implement best practices, data naming standards, data definitions, maintain data maps and diagrams.
  • Data Security Specify rules and guidelines for ensuring data security and compliance.
  • Tooling & Documentation Maintain data schemas using modern standards modeling tools and ensure documentation is accessible.

Requirements

  • B.Sc. Degree with a minimum of 5+ years of dedicated data modeling experience in enterprise relational databases, columnar databases.
  • SQL Proficiency Write, read, and optimize complex SQL transactional and analytical queries.
  • Modern Data Stack Familiarity Experience modeling for cloud data warehouses/lakehouses (e.g., SQLSERVER, Hadoop, Snowflake, BigQuery, Databricks), working alongside transformation tools (e.g., dbt).
  • Tooling Proficiency with ER/Studio, Erwin or similar data modeling software.
  • NoSQL/Unstructured Data Understanding of when and how to model semi structured data (JSON, Parquet) and NoSQL databases (MongoDB, Cassandra).
  • Physical Data Management Understand current data storage constraints and define TO BE needs with growth allocation.
  • Data Integration Familiar with ETL tools to define the rules for data transformations.
  • Soft Skills: Communication, presentation skills, business needs, able to lead or mentor a team.

Certificates

  • W3school SQL Certification
  • DAMA CDMP Certification
  • Microsoft: Azure Data Engineer Associate

Additional Information

  • Business Unit: DAIC
  • Level: Mid senior level

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