Lead Data Architect
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Job Description
Lead Data Architect specializing in data platform modernization for Data Meaning. Responsible for assessing architecture and guiding SQL transformations in a Snowflake environment.
Responsibilities:
- Lead architecture assessment and documentation of the current data platform (Snowflake, Airflow, AWS)
- Design the future-state data platform architecture following modern ELT and dbt best practices
- Define standards for: data modeling, pipeline architecture, transformation frameworks, governance and data quality
- Lead the migration of transformation logic into dbt models
- Define architectural patterns for: staging layers, intermediate layers, data marts
- Implement automated testing frameworks within dbt
- Lead discovery sessions and technical workshops with the client’s data engineering teams
- Document architecture, pipelines, and operational processes
- Conduct architecture walkthrough sessions during knowledge transfer phases
- Define standards for CI/CD, monitoring frameworks, and data quality validation
- Establish schema management and governance best practices
- Optimize Snowflake compute usage and platform performance
- Design scalable orchestration strategies for Airflow pipelines
- Improve platform reliability, monitoring, and operational observability
Requirements:
- 10+ years of experience in Data Engineering or Data Architecture
- Strong experience designing and implementing modern data platforms
- Expert-level experience with Snowflake
- Strong experience implementing dbt transformation frameworks
- Advanced SQL modeling and performance optimization
- Strong experience with Apache Airflow orchestration
- Strong Python programming skills
- Experience designing: ELT pipelines, Data warehouse architectures, Transformation frameworks, Large-scale data pipelines
- Experience working in cloud environments (AWS preferred)
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