Enterprise Data Architect
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Job Description
Enterprise Data Architect designing Snowflake, ODS, and Kafka data architecture for Vista, a global business aviation company. Defining data models, pipelines, schemas, and governance standards.
Responsibilities:
- Design and maintain enterprise data models for the Snowflake data warehouse and Operational Data Store (ODS)
- Own data architecture strategy connecting operational systems, the ODS, and the enterprise data warehouse
- Design integration and data flows between operational systems, ODS, and warehouse layers
- Define and document data modeling standards, naming conventions, modeling patterns, and best practices
- Partner with data engineers to design and review ELT/ETL pipelines using dbt and Airflow
- Define event payload schemas and data contract standards for Kafka topics
- Drive data governance practices including metadata management, data lineage, data quality standards, and documentation using tools such as Open Metadata
- Evaluate new data sources, systems, and integration requirements and design corresponding data models and ingestion patterns
- Provide design reviews and technical guidance to data engineers, analysts, and application teams
- Translate business requirements into well-structured, reusable data models supporting enterprise reporting and analytics
- Work as an individual contributor with no direct reports
Requirements:
- Bachelor’s degree in Computer Science, Engineering or related discipline required
- Minimum 8 years of total professional experience in data engineering, database development, or related fields
- At least 3 years of experience specifically in a data architecture or senior data modeling role
- Hands-on experience designing and modeling data for both a cloud data warehouse (Snowflake preferred) and a relational operational data store (PostgreSQL/Aurora preferred) required
- Experience defining event payload schemas and data contracts on a streaming/messaging platform such as Kafka required
- Aviation industry experience preferred
- Deep proficiency in SQL, data modeling techniques (dimensional modeling, 3NF, data vault), and ELT/ETL design principles
- Experience with orchestration tools such as Airflow
- Working knowledge of PostgreSQL/Aurora and cloud data warehouse platforms (Snowflake preferred), including performance and schema design considerations for both transactional and analytical workloads
- Ability to define and enforce data architecture standards, modeling best practices, and documentation across warehouse and ODS environments
- Knowledge of Master Data Management (MDM) principles and metadata management frameworks
- Strong stakeholder management skills and ability to partner effectively across technical and non-technical teams
- Excellent communication skills with ability to articulate technical concepts to diverse audiences
- Detail-oriented with strong commitment to data quality, consistency, and governance across systems
- Required to verify identity and eligibility to work in the United States and complete the required employment eligibility verification form upon hire
Benefits:
- Global business aviation company environment
- Autonomy and responsibility from day one
- Hands-on learning
- Close collaboration within a supportive global community
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