Snowflake Solutions Architect – Data Platform Leader

Source Meridian; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Permanent contract

Learning & growth environment

Health benefits

Competitive salary based on experience

Job summary

Source Meridian is seeking a Senior Snowflake Solutions Architect to lead and implement our next-gen data platform. You will design scalable Snowflake solutions, collaborate with data engineers, analytics, data science, and product teams to ensure reliability and growth.

You will define the data platform standards, roadmaps, and best practices, driving a lean, high-ownership team. This is a hands-on leadership role emphasizing architecture, security, and performance.

Qualifications

• 5+ years in data architecture and data engineering.
• 3+ years hands-on Snowflake experience.
• Strong SQL and Python skills.
• Experience with Azure cloud and modern ELT tooling.
• Knowledge of data modeling (star, schema, wide tables).
• Proficient English (C1-C2) to lead discussions with US stakeholders.

Responsibilities

• Architect end-to-end Snowflake data solutions and pipelines.
• Define roadmap, standards, and best practices.
• Collaborate with data engineers, analytics engineers, data scientists and product teams.
• Lead design sessions and govern warehousing, pipelines, orchestration and governance.
• Evaluate tools and integrate Snowflake ecosystem components.
• Implement data security, privacy, and access controls within Snowflake.
• Troubleshoot and optimize warehouse performance and cost.
• Mentor teammates and promote engineering excellence.

Skills

Snowflake expertise

Data modeling

SQL

Python

Azure cloud

ELT tooling

CI/CD for data

English communication

Tools

dbt

Airflow

Fivetran

Matillion

Azure/AWS services

Job description

Source Meridian is seeking a Senior Snowflake Solutions Architect to lead and implement our next-gen data platform. You will design scalable Snowflake solutions, collaborate with data engineers, analytics, data science, and product teams to ensure reliability and growth.

You will define the data platform standards, roadmaps, and best practices, driving a lean, high-ownership team. This is a hands-on leadership role emphasizing architecture, security, and performance.