Remote Lead Data Architect (Snowflake)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Snowflake Data Architect - REMOTE. In this role, you will significantly impact the design and implementation of scalable data architecture solutions that foster innovation and data-driven decision-making across various business functions. You will work in a dynamic environment, closely collaborating with cross-functional teams to translate complex business needs into effective technical designs. By architecting modern data ecosystems, you will contribute to shaping the future of data utilization within the organization. Your expertise in Snowflake and emerging data platforms will be crucial for driving enterprise-wide strategies and optimizing data solutions.

• Architect and implement scalable, secure, and high-performance data solutions using Snowflake.
• Design and maintain robust data models, ELT/ETL pipelines, and data integration frameworks.
• Collaborate cross-functionally with data engineers, analysts, and business stakeholders to translate business needs into technical designs.
• Optimize Snowflake usage for performance, cost efficiency, and scalability.
• Lead data migration initiatives from legacy systems to Snowflake.
• Coordinate with the Data Governance team to ensure data quality, lineage, documentation, and compliance.
• Monitor, troubleshoot, and resolve data issues to ensure availability, reliability, and accuracy across platforms.

• 5 years of proven expertise in Snowflake architecture, development, and administration.
• Experience in Microsoft Fabric or equivalent and Lakehouse architecture in unified analytics is strongly preferred.
• Strong proficiency in data warehouse architecture and lifecycle management.
• Extensive experience in data modeling and designing scalable data warehouses.
• Hands-on experience with ELT/ETL tools and workflow automation (e.g., dbt, Matillion, Airflow) is preferred.
• Experience with CI/CD processes and DevOps practices in data environments.
• Experience integrating data from platforms like Salesforce and Workday.
• Exposure to non-relational databases and modern data structures (e.g., MongoDB, NoSQL).
• Strong interpersonal and communication skills with the ability to work cross-functionally with various groups.

• Work with cutting-edge tools in a cloud-native environment.
• Influence enterprise-wide data strategy and architecture.
• Join a collaborative, high-impact team with a strong culture of innovation.
• Competitive compensation and benefits, including health insurance and retirement savings plan.
• Opportunities for career growth and development.

Why Apply Through Jobgether?

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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