Role Summary
Key Responsibilities
- Design and implement end-to-end data solutions, from strategy to deployment .
- Shape enterprise data strategy, architecture, and governance frameworks for our clients.
- Lead data migration and integration projects, using tools like Snowpipe, Streams, and Tasks.
- Collaborate with analytics teams to support AI/ML and advanced analytics workloads using Snowpark and Python.
- Build and optimize cloud data platforms on AWS, Azure, or GCP.
- Act as a trusted advisor to clients, facilitating workshops and bringing thought leadership on modern data architecture best practices.
- Drive performance optimization and cost efficiency across deployments.
What We’re Looking For – Required Qualifications
- 5+ years in data architecture or engineering, with hands-on Snowflake experience, including schema design, performance tuning, Snowflake Secure Data Sharing, cost optimization strategies, and end-to-end deployment.
- Proven ability to troubleshoot and resolve performance issues in Snowflake, manage virtual warehouses, implement clustering keys, and apply best practices for scaling and resource management.
- Deep knowledge of cloud environments (AWS, Azure, or GCP).
- Strong skills in SQL, Python.
- Experience with data modeling, integration, and governance frameworks.
- Familiarity with BI tools like Microstrategy, Tableau, or Power BI.
- Excellent communication, presentation, and stakeholder management skills, with the ability to effectively communicate technical concepts to non-technical audiences.
Nice to Have
SnowPro certification or other Snowflake credentials.
- Certifications in AWS, Azure, or GCP architecture.
- Passion for mentoring and helping clients make smart, data-driven decisions.
- Knowledge of emerging trends and technologies in data architecture, such as data mesh, event-driven architectures, and streaming analytics.
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