
Advanced Data Architect
1 week ago
This is a unique opportunity to contribute to a company at the forefront of innovation, empowering businesses with actionable insights through advanced technologies.
The ideal candidate will have a deep understanding of data warehousing concepts, dimensional modeling, and analytics-driven design. They will be responsible for designing, implementing, and maintaining data warehousing solutions that form the backbone of our analytics and intelligence platform.
Key Responsibilities:- Design and develop advanced SQL queries, stored procedures, and UDFs for large-scale analytics.
- Architect efficient data models and schema structures (star, snowflake, and hybrid models) to optimize performance.
- Build, monitor, and optimize ETL/ELT pipelines leveraging Snowflake's native features (Snowpipe, Streams, Tasks).
- Conduct deep query performance tuning to handle billions of rows with speed and accuracy.
- Implement and manage role-based security, data masking, and governance within Snowflake.
- Collaborate closely with data engineers, analysts, and product teams to translate requirements into high-performing data solutions.
- Integrate Snowflake with other cloud platforms and BI tools.
- Own and maintain best practices for cost optimization, clustering, and partitioning within Snowflake.
- Document architecture, queries, and processes for scalability and knowledge sharing.
- Provide technical mentorship and guidance on Snowflake best practices.
- 5+ years of hands-on experience with Snowflake, including query writing, optimization, and architecture.
- Proven expertise in writing highly complex SQL queries that scale across very large datasets.
- Strong understanding of data warehousing concepts, dimensional modeling, and analytics-driven design.
- Demonstrated success in query performance tuning and cost optimization in Snowflake.
- Proficiency with ETL/ELT workflows, including Snowpipe, Streams, and Tasks.
- Expertise in Python or other programming languages for data transformation and orchestration.
- Solid knowledge of AWS services and integration with Snowflake.
- Familiarity with caching and real-time frameworks such as Redis.
- Strong background in SQL and NoSQL databases, with a focus on analytical workloads.
- Experience implementing CI/CD pipelines for data workflows.
- Excellent problem-solving skills and the ability to push Snowflake to its technical limits.
- Hands-on experience in fast-paced startup or high-growth environments.
- Exciting Career Growth: Be part of a dynamic team defining the future of pricing and analytics.
- Cutting-Edge Environment: Work with innovators on one of the most advanced platforms in the industry.
- Competitive Compensation: Market-leading salary and benefits aligned with your expertise.
- Collaborative Culture: A hands-on, innovative, and supportive workplace that thrives on technical excellence.
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