Snowflake Architect with Technical Leadership
4 weeks ago
We are seeking an experienced Snowflake Architect with a strong technical background and solution-shaping orientation to join our team. The ideal candidate will have a deep understanding of Snowflake architecture, excellent communication skills, and the ability to analyze both technical and business requirements to design optimal solutions.
Key Responsibilities:
- Oversee and advise on the implementation of the customer's Snowflake platform
- Demonstrate technical leadership through personally developed code, solution architectures, and implementation recommendations
- Act as a trusted advisor to customer executive leadership for thought leadership and solution approaches
- Extract business requirements from customers and translate them into a well-architected recommendation
- Develop and provide forward-looking guidance and future state roadmaps
- Leverage known best practices and solutions to reduce risk to customer implementations
- Decompose future state goals into actionable execution plans
- Collaborate with Snowflake GTM and product teams to ensure customer alignment to Snowflake goals
- Work closely with frontend developers, designers, and product managers to understand requirements and deliver high-quality features
- Lead in developing project requirements for end-to-end data integration processes using ETL for structured, semi-structured, and unstructured data
Qualifications:
- 8+ years of experience implementing data management solutions
- Management consulting experience
- Expertise in Snowflake concepts like setting up Resource monitors, RBAC controls, scalable virtual warehouse, SQL performance tuning, zero copy clone, time travel, and automating them
- Experience in handling semi-structured data (JSON, XML), columnar PARQUET using the VARIANT attribute in Snowflake
- Experience in re-clustering of the data in Snowflake with a good understanding of Micro-Partitions
- Experience in migration processes to Snowflake from on-premises database environments
- Experience in designing and building manual or auto ingestion data pipelines using Snowpipe
- Experience in cloud technologies such as AWS - S3, SQS, EC2, Lambda, Redshift, RDS
- Design and develop automated monitoring processes on Snowflake using a combination of Python, PySpark, Bash, and Snow SQL
- Snow SQL experience in developing stored procedures, writing queries to analyze and transform data
- Certified Snowflake Cloud Data Warehouse Architect (desirable)
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