Lead Data Architect — Remote Snowflake/dbt Modernization

Data Meaning; Boca Raton (FL); On-site; USD 161,500 - 218,500; Full time

Job summary

Data Meaning is seeking a Lead Data Architect to guide modernization of client data platforms, designing future-state architectures and ELT pipelines in a Snowflake/dbt environment.

You will collaborate with client engineers and our consultants, leading knowledge transfer, architecture walkthroughs, and platform transitions to ensure scalability, reliability, and governance across data stores and pipelines.

Qualifications

• 10+ years of experience in Data Engineering or Data Architecture.
• Advanced / fluent English.
• 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).

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.

Skills

English fluency

10+ years experience

Data architecture

Modern data platforms

ELT pipelines

Data governance

Tools

Snowflake

dbt

Airflow

Python

AWS

SQL

Job description

Data Meaning is seeking a Lead Data Architect to guide modernization of client data platforms, designing future-state architectures and ELT pipelines in a Snowflake/dbt environment.

You will collaborate with client engineers and our consultants, leading knowledge transfer, architecture walkthroughs, and platform transitions to ensure scalability, reliability, and governance across data stores and pipelines.