Snowflake Data Engineer: AI-Driven Analytics & Automation

EXL; Bogotá ciudad; Sur place; COP 388 425 000 - 582 637 000; Plein temps

Résumé du poste

EXL is seeking a senior Snowflake Architect to own the architecture, build, and optimization of the Snowflake platform, Cortex AI, and integrations with systems like SQL Server and Salesforce HCM. You will ensure secure, efficient, and insight-driven data environments through automation and governance, enabling AI-powered data products.

The role focuses on designing scalable data platforms, optimizing performance, and collaborating with data, ML, and business teams to deliver vector-based AI

Qualifications

• Experience designing and deploying Snowflake warehouses/databases for analytics.
• Proficient with Terraform and GitHub Actions for IaC/CI-CD.
• Strong SQL and performance tuning skills.
• Experience integrating Snowflake with SQL Server, Salesforce HCM, Databricks, and BI tools.

Responsabilités

• Design and deploy Snowflake warehouses, databases, and AI capabilities for analytics workloads.
• Automate provisioning, secrets management, schema deployment, and scaling using Terraform and GitHub Actions.
• Implement cost governance through usage tracking, dashboards, resource monitors, and query profiling.
• Integrate Snowflake with dbt, SQL Server, Salesforce HCM, Databricks, and BI tools to enable unified AI/ML pipelines.
• Enforce data security through RBAC roles, dynamic masking, and efficient compute management.

Connaissances

Snowflake architecture

Cortex AI

Snowpark

Vector embeddings

SQL skills

Governance

AI/ML observability

Query optimization

Hybrid integrations

Outils

Terraform

GitHub Actions

CI/CD pipelines

dbt

Power BI

Snowgrid

AWS PrivateLink

Description du poste

EXL is seeking a senior Snowflake Architect to own the architecture, build, and optimization of the Snowflake platform, Cortex AI, and integrations with systems like SQL Server and Salesforce HCM. You will ensure secure, efficient, and insight-driven data environments through automation and governance, enabling AI-powered data products.

The role focuses on designing scalable data platforms, optimizing performance, and collaborating with data, ML, and business teams to deliver vector-based AI