Required Qualifications
11+ years of hands-on experience in data modeling and data warehousing.
Bachelor's degree in Computer Science, Information Technology, or equivalent experience.
Strong command of conceptual, logical, and physical modeling, including dimensional modeling and 3NF design.
Hands-on experience with Erwin Data Modeler, ER/Studio, or PowerDesigner.
Advanced SQL skills, including query optimization on large data sets.
Experience modeling on cloud data platforms such as Snowflake, Databricks, or Google Cloud.
AI & Machine Learning Integration: Familiarity with multi-modal data, AI/ML model deployment, and data governance frameworks.
Big Data & Pipelines: Experience with distributed data processing, streaming/batch pipelines (such as Apache Beam / Google Cloud Platform Dataflow), and vector/graph databases.
Preferred Qualifications
Experience with Data Vault 2.0 and lakehouse architectures.
Experience building semantic layers in Looker/LookML, with dashboards in Tableau or Qlik.
Familiarity with data governance and catalog tools such as Collibra or Alation.
Python experience for exploratory data analysis and data validation.
Background in telecom, wireless, or customer data domains.
