Snowflake Data Warehouse/ Data Engineer Lead

Key Responsibilities:

Snowflake Architecture & Engineering:

• Lead and implement Snowflake solutions across data ingestion, storage, transformation, and access.

• Lead end-to-end implementation of solutions using Snowflake’s latest features.

• Develop reusable frameworks, UDFs, and components using Snowpark or SQL scripting.

• Develop performance-optimized pipelines using Snowflake-native capabilities and modern ELT tools.

• Establish data governance, security models, RBAC, and masking policies in line with compliance standards.

• Conduct performance tuning, workload monitoring, and optimization.

GenAI:

• Enable GenAI use cases leveraging Snowflake’s native capabilities

• Implement Cortex AI features with custom workflows and business logic

Required Qualifications and Certifications:

• 8+ years of experience as a Snowflake Lead or Data Engineer.

• Good command of Snowflake internals, including performance tuning, clustering, caching.

• Good Knowledge of SQL, Snowflake scripting, and at least any one cloud platforms (AWS, Azure, or GCP).

• Knowledge of Advanced Features like dynamic tables, Snow pipe streaming, Snowflake Cortex AI etc.

• Good communication skills with the ability to bridge technical and business discussions.

• Certifications: SnowPro Core Certified.

Job Type: Full-time

Application Question(s):

• Rate your proficiency in Snowflake, from 1 to 10, 10 being the highest.
• Rate your proficiency in SQL, Snowflake scripting, and at least any one cloud platforms (AWS, Azure, or GCP), from 1 to 10, 10 being the highest.
• How much is your last drawn salary?
• How much is your salary expectation?
• Are you amenable to working onsite in Cebu with a shifting schedule?
• When are you available to start once hired?
• Current Location

Experience:

• as a Snowflake Lead or Data Engineer.: 8 years (Required)

License/Certification:

• SnowPro Core certification (Required)

Work Location: In person