Senior/Lead Snowflake Support Engineer - Data Platform
First seen by Alion on Oct 21, 2026.
Role Overview :
We are looking for a skilled Lead/Senior Snowflake Support Engineer to support and optimize enterprise cloud data platforms, with a strong focus on Snowflake, SQL development, scripting, data management, and data architecture.
Total Experience : 2 - 8 years
Key Responsibilities :
- Provide technical support, maintenance, and optimization for Snowflake-based enterprise data platforms.
- Develop, maintain, and optimize complex SQL queries, stored procedures, and data transformation processes.
- Write and maintain scripts using Python or similar scripting languages to automate routine tasks, data processing, monitoring, and troubleshooting.
- Work with Snowflake utilities, including SnowSQL and Snowpipe, to manage data ingestion, loading, and processing workflows.
- Implement and support Snowflake features such as Tasks, Streams, Time Travel, query optimization, metadata management, and secure data sharing.
- Monitor data pipelines, scheduled jobs, and automated workflows to ensure timely and accurate data delivery.
- Troubleshoot data quality issues, performance bottlenecks, failed jobs, and data integration challenges.
- Support enterprise data management initiatives, including data governance, metadata management, data quality, and data lifecycle management.
- Contribute to data modeling activities involving OLTP, OLAP, dimensional modeling, facts, and dimensions.
- Support cloud-based data architectures, messaging systems, and analytics solutions.
- Participate in enterprise-wide cloud data platform migration initiatives, including data migration, validation, testing, and post-migration support.
- Collaborate with data architects, developers, business analysts, project managers, and other stakeholders to deliver reliable data solutions.
- Use project tracking tools such as Jira or similar platforms to manage incidents, track deliverables, and communicate progress.
- Follow established security, compliance, and operational standards relevant to banking and financial services data.
- Prepare and maintain technical documentation, support procedures, troubleshooting guides, and operational reports.
Required Technical Skills :
- 3+ years of experience in SQL development.
- 3+ years of experience in Python or similar scripting languages.
- 3+ years of experience in the Finance or Banking industry.
- 3+ years of experience in Enterprise Data Management.
- 2+ years of hands-on experience with Snowflake utilities, including SnowSQL and Snowpipe.
- 2+ years of experience with job scheduling software and project tracking tools such as Jira.
- 1+ year of experience in data modeling (OLTP, OLAP, dimensional modeling).
- 1+ year of experience with cloud-based data architectures and analytics platforms.
- Hands-on experience with Snowflake Tasks, Streams, Time Travel, query optimization, metadata management, and data sharing.
- Previous experience contributing to an enterprise-wide Cloud Data Platform migration.
Preferred Skills :
- Experience supporting large-scale enterprise data warehouses and cloud data platforms.
- Understanding of ETL/ELT processes, data integration, and data pipeline monitoring.
- Familiarity with data quality controls, data reconciliation, and production support processes.
- Experience with incident management, root cause analysis, and performance tuning.
- Knowledge of cloud data security, access controls, and governance practices.
Skills
Data Engineering, SQL, Python, Data Modeling, Snowflake DB, Data Architect, Data Management, OLAP