Senior Data Architect: Snowflake/dbt Modernization (Remote)

Data Meaning; United States; Remote; USD 165,000 - 220,000; Full time

Job summary

Data Meaning is a leading BI and Data Analytics consulting firm delivering tailored solutions across the US. We are hiring a Lead Data Architect to drive modernization initiatives across client portfolios, designing future-state data platforms, ELT pipelines, and a dbt framework in Snowflake.

The role requires leading architecture assessments, migration of transformations into dbt, and defining standards for data governance and quality.

Qualifications

• Advanced English proficiency.
• 10+ years of experience in Data Engineering or Data Architecture.
• Strong experience with modern data platforms.
• Expert-level Snowflake knowledge and dbt implementation.
• SQL modeling and performance optimization.

Responsibilities

• Lead architecture assessment and documentation of the current data platform.
• Design future-state data platform architecture with ELT and dbt best practices.
• Define standards for data modeling, pipelines, governance, and quality.
• Lead migration of transformation logic into dbt models.
• Define patterns for staging, intermediate layers, and data marts.
• Implement automated testing within dbt.
• Lead workshops with client data engineering teams.
• Document architecture, pipelines, and operational processes.
• Conduct architecture walkthroughs during knowledge transfer.
• Define CI/CD standards, monitoring, and data quality validation.
• Establish schema governance practices.
• Optimize Snowflake compute usage and performance.
• Design scalable Airflow orchestration strategies.
• Improve platform reliability and observability.

Tools

Snowflake

dbt

Apache Airflow

Python

AWS

Job description

Data Meaning is a leading BI and Data Analytics consulting firm delivering tailored solutions across the US. We are hiring a Lead Data Architect to drive modernization initiatives across client portfolios, designing future-state data platforms, ELT pipelines, and a dbt framework in Snowflake.

The role requires leading architecture assessments, migration of transformations into dbt, and defining standards for data governance and quality.