We are hiring Snowflake Platform Engineers!
We are NOT looking for Snowflake developers—we need highly skilled platform engineers who can architect, optimize, and drive enterprise-scale Snowflake solutions. If you have expertise in cloud-based data platforms, Snowflake optimization, and data engineering, this role is for you!
Key Responsibilities :
- Evaluate & Optimize : Assess Snowflake for data processing, storage, security, scalability, and cost efficiency.
- Architect & Implement : Design and implement highly scalable Snowflake-based solutions aligned with business needs.
- Performance Tuning : Continuously optimize Snowflake performance, resource utilization, and infrastructure efficiency.
- Data Engineering Best Practices : Define and enforce standards for data reliability, quality, and consistency.
- Modern Data Tooling : Work with AWS, Matillion, Fivetran, DBT, Airflow, and Astronomer to build robust data solutions.
- Hands-on Customer Engagement : Provide technical expertise, implementation support, and best practices to clients.
- CI / CD & Automation : Implement version control (Git), CI / CD workflows, and cloud-based automation.
- Security & Compliance : Define user roles, permissions, and data governance policies in Snowflake.
- Cross-functional Collaboration : Work with Product, Engineering, and Market teams to enhance Snowflake’s capabilities.
What You Bring :
Deep expertise in Snowflake architecture, performance tuning, and SQL analytics.Strong knowledge of AWS and Kubernetes, with experience in cloud-based data platforms.Hands-on experience with large-scale databases, data warehouses, ETL, and Data Mesh / Data Fabric architectures.Ability to bridge business needs with technical solutions, engaging with stakeholders, engineers, and executives.Proactive problem-solving mindset with the ability to work independently.Strong presentation and communication skills—comfortable with whiteboarding, demos, and executive discussions.Apply Now or DM me for more details! Let’s build the future of Snowflake-powered data platforms together!
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