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Design, build, and integrate complex data architectures, focusing on Snowflake and Databricks, to support scalable growth and advanced analytics for enterprise operations. This role focuses on bridging business requirements with high-performance technical solutions.
Responsibilities
- Define the long-term architectural roadmap for the data ecosystem, ensuring it supports scalable growth and advanced analytics
- Design and implement seamless integrations between Snowflake (for warehousing) and Databricks (for lakehouse/AI workloads)
- Architect pipelines and storage strategies for large-scale geospatial data, ensuring high-performance spatial querying and visualization capabilities
- Oversee the development of robust ETL/ELT pipelines using Apache Spark, Delta Lake, and Hadoop ecosystems
- Act as the primary architect for data privacy and security, ensuring all designs comply with GDPR, CCPA, or other relevant industry-specific regulations
- Create and maintain enterprise-level conceptual, logical, and physical data models tailored for both structured and unstructured data
Requirements
- Advanced proficiency in Snowflake (Snowpark, Streams, Tasks)
- Advanced proficiency in Databricks (Unity Catalog, Delta Live Tables)
- Deep experience with Apache Spark, Hadoop, and distributed computing principles
- Experience with PostGIS, Esri, or Snowflake/Databricks native spatial functions and H3 indexing
- Expert-level SQL
- Expert-level Python (specifically PySpark)
- Hands-on experience with data cataloging, lineage tools, and building Compliance by Design frameworks
Skills
Python
*
SQL
*
Snowflake
*
Databricks
*
Apache Spark
*
Delta Lake
*
PySpark
*
Hadoop
*
Esri
*
Unity Catalog
*
Delta Live Tables
*
Snowpark
*
PostGIS
*
H3 indexing
*
* Required skills
About Giggso
Founded in 2018, Giggso is a responsible AI platform for enterprise operations with security and automations.
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