Experteer Overview As a Technical Lead, you will steer the end-to-end lifecycle of cloud data products, focusing on data warehouse and lake architectures to boost analytics capabilities. You will act as a Snowflake and DBT SME, guiding design and implementation of data flows and advanced data modeling such as Data Vault 2.0. You will lead hands-on data work, writing optimized SQL and using Python for processing, while building robust pipelines and ensuring data quality. You will collaborate with cross-functional teams to support reporting, analytics, and AI initiatives, and mentor junior developers. This role offers a chance to shape our data strategy and scale data solutions across the organization.Compensaciones / Beneficios
- lead end-to-end lifecycle of cloud data products
- design and implement Snowflake and DBT-driven data flows
- develop advanced data models, including Data Vault 2.0
- write optimized SQL and leverage Python for data processing
- build and maintain data pipelines, automate processes, and ensure data quality
- collaborate with cross-functional teams to support analytics and AI initiatives
- mentor junior developers and foster knowledge sharingResponsabilidades
- Master's degree in Computer Science, Information Technology, or related field
- 8+ years as a Snowflake Developer and 10+ years in data modeling and data warehousing
- proficient with complex SQL and advanced Python
- strong understanding of data warehousing concepts
- experience with DBT for data transformation
- Snowflake performance tuning and query optimization
- knowledge of CI/CD pipelines, preferably Azure DevOps
- IaC tools familiarity (Terraform or CloudFormation) is a plus
- excellent problem-solving, analytical, and communication skillsRequisitos principales
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