Job Description

Milestone Technologies is currently searching for a Snowflake Data Engineer candidate to join our IT Development team.

Responsibilities

Snowflake Administration

• Manage and administer Snowflake accounts, warehouses, databases, schemas, roles, and users
• Implement and maintain role-based access control (RBAC), security policies, and data governance standards
• Monitor warehouse usage, query performance, and cost optimization
• Handle cloning, time travel, failover, replication, and disaster recovery strategies
• Perform capacity planning, scaling, and environment management (Dev / QA / Prod)
• Troubleshoot performance issues, failed tasks, and platform incidents

Development

• Design and develop stored procedures, UDFs, and Snowflake Scripting solutions
• Build and maintain ETL/ELT pipelines using Snowflake-native features (Streams, Tasks, Snowpipe, Dynamic Tables)
• Implement Change Data Capture (CDC) patterns to identify, track, and process incremental data changes
• Automate recurring data workflows, deployments, and operational tasks
• Develop data models, views, and transformations to support analytics and reporting
• Integrate Snowflake with external sources (cloud storage, APIs, messaging systems, BI tools)

Automation & Operations

• Automate provisioning, monitoring, alerting, and housekeeping activities
• Create and manage Snowflake Tasks and orchestration workflows
• Develop CI/CD pipelines for database objects and deployment processes
• Document technical standards, runbooks, and best practices

Collaboration & Governance

• Partner with data engineering, analytics, and business teams on data requirements
• Enforce data quality, lineage, and compliance standards
• Support audits, access reviews, and security compliance initiatives
• Mentor junior team members and contribute to platform roadmap planning

Skills

• 4+ years of hands-on experience with Snowflake administration and development
• Strong expertise in SQL, stored procedures, and Snowflake Scripting
• Experience with CDC implementation (Streams, Tasks, Snowpipe, or equivalent patterns)
• Proven ability to automate data workflows and operational tasks in Snowflake
• Solid understanding of data warehousing concepts, dimensional modeling, and ELT/ETL design
• Experience with role-based security, masking policies, row access policies, and data governance
• Hands-on experience with cloud platforms (AWS, Azure, or GCP) and integration with Snowflake
• Strong troubleshooting skills for query tuning, warehouse optimization, and performance issues
• Experience working in Agile/DevOps environments with version control (Git) and CI/CD tools