Description

Data Architecture & Modeling

• Design enterprise data models using dimensional modeling, Data Vault 2.0, or similar methodologies
• Architect and maintain data warehouses, data lakes, and lakehouse environments
• Define and enforce data standards, naming conventions, and schema governance across domains

Data Governance & Quality

• Implement data governance frameworks including cataloging, lineage tracking, and metadata management
• Build automated data quality checks, validation rules, and anomaly detection into pipelines
• Ensure compliance with data privacy regulations through access controls and data classification
• Maintain master data management standards, data dictionaries, and business glossaries

Pipeline Engineering & Platform

• Build and maintain batch and streaming data pipelines with full observability and alerting
• Implement change data capture patterns, real-time ingestion, and ELT/ETL frameworks
• Administer and scale cloud data platforms; optimize storage, compute, and cost efficiency
• Manage data infrastructure using infrastructure-as-code practices

Collaboration

• Partner with analytics engineers, data scientists, and BI teams to deliver trusted data products
• Define data contracts between producers and consumers; mentor junior engineers

Key Skills

Education

Bachelor's degree