Solutions Architect - Cloud Data Platforms (Snowflake)

We are a premier AI and data services partner, established over a decade ago, dedicated to helping global brands design, build, and manage modern data and AI platforms on Snowflake and major cloud platforms. We take pride in our specialization in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to ensure maximum business value from data. We offer competitive base salary with bonuses, a remote-first work culture, comprehensive benefits, four weeks of PTO plus ten holidays, and opportunities for accelerated learning and professional development with advanced training and certifications. Our team operates within a culture that values autonomy, creativity, transparency, and cross-functional collaboration.

- Bachelors degree in Computer Science, Engineering, or a related discipline (advanced degrees or relevant certifications are advantageous).
- Minimum of 10 years of direct experience in architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure.
- Demonstrated client-facing consulting experience, including presentations to executive stakeholders and creating comprehensive solution documentation.
- In-depth technical knowledge in SQL, infrastructure-as-code (Terraform or CloudFormation), CI/CD tools (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark).

- Lead the design, architecture, and implementation of large-scale cloud-based data platform solutions on Snowflake, AWS, and Azure.
- Drive data migrations, integrations, and performance optimization across data warehouses, data lakes, and distributed systems to enhance reliability and minimize costs.
- Oversee platform security, data governance, and process engineering to ensure robust, scalable, and continuously evolving data environments.
- Manage various client partnerships as a trusted advisor, collaborating with interdisciplinary teams and mentoring junior engineers to optimize platform ROI and ensure customer success.