Snowflake Data Engineer (Snowflake, SQL, ETL)

Accenture; Metro Manila; On-site; PHP 1,674,000 - 2,790,000; Full time

Job summary

Accenture is seeking an experienced Snowflake/Data Engineer to design and implement scalable Snowflake solutions in the Philippines. You will optimize ELT pipelines, build reusable components, and enable Cortex AI-powered workflows while ensuring robust governance and data quality across all stages of the data lifecycle.

The role requires strong SQL, Snowflake scripting, and hands-on experience with cloud platforms (AWS/Azure/GCP) to drive performance and reliability in enterprise environments.

Qualifications

• At least 3 years as a Snowflake/Data Engineer with strong SQL and Snowflake scripting.
• Experience in Snowflake internals (tuning, clustering, caching) and cloud platforms (AWS, Azure, GCP).
• Lead end-to-end Snowflake implementations using latest features.
• Develop performance-optimized ELT pipelines with Snowflake-native capabilities.
• Enable GenAI use cases through Snowflake Cortex AI with custom workflows.
• Set up data governance, RBAC, and masking policies in line with compliance.
• Handle performance tuning, workload monitoring, and continuous optimization.
• Ensure data quality across every stage of the pipeline.

Responsibilities

• Lead end-to-end Snowflake implementations using the platform's latest features.
• Build reusable frameworks, UDFs, and components with Snowpark or SQL scripting.
• Develop performance-optimized ELT pipelines using Snowflake-native capabilities.
• Enable GenAI use cases through Snowflake Cortex AI, with custom workflows and business logic.
• Set up data governance, security models, RBAC, and masking policies aligned to compliance standards.
• Handle performance tuning, workload monitoring, and continuous optimization.
• Ensure data quality across every stage of the pipeline.

Skills

Snowflake

SQL

Snowflake scripting

Snowpark

Cloud platforms (AWS)

Cloud platforms (Azure)

Cloud platforms (GCP)

Tools

Snowpark

Job description

• At least 3 years as a Snowflake/Data Engineer, with strong SQL and Snowflake scripting, working knowledge of Snowflake internals (tuning, clustering, caching), and experience in at least one cloud platform (AWS, Azure, or GCP)

• Lead end-to-end Snowflake implementations using the platform's latest features

• Build reusable frameworks, UDFs, and components with Snowpark or SQL scripting

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

• Enable GenAI use cases through Snowflake Cortex AI, with custom workflows and business logic

• Set up data governance, security models, RBAC, and masking policies aligned to compliance standards

• Handle performance tuning, workload monitoring, and continuous optimization

• Ensure data quality across every stage of the pipeline