2026-7947 Systems Engineer-Mid (Mid Shift)

Strategic Analytics is a growing team at Arch that develops predictive models analytical tools and automations to improve profitability and growth. This role supports the technical infrastructure behind those efforts. 

As a System Engineer you will manage and optimize cloud data platforms primarily Snowflake and Databricks ensuring availability performance security and cost efficiency. Youll support enterprise analytics and AI/ML workloads drive automation and operational excellence and collaborate with Strategic Analytics architects engineers and global teams. Experience with Azure SQL and related Azure services is a plus. The teams technology needs evolve so a willingness to learn and adopt new tools is essential. 

Responsibilities:
 

• Manage andoptimize Snowflake and Databricks environments including performance tuning cost controls workload isolation and scaling; provide secondary support for Azure SQL and Azure Data Factory. 
• Build andmaintain data pipelines using Databricks Snowflake Streams/Tasks and Azure Data Factory. 
• Enforce security and governance controls including RBAC encryption auditing masking lineage and Entra ID (Azure AD) integration.
• Tune queries and workloads using native tools such as Snowflake Query ProfileDatabricks SQL Analytics and Azure Monitor. 
• Implement andmaintain disaster recovery replication backup and archival strategies across platforms. 
• Collaborate with data engineers data scientists BI teams and architects to support scalable data models integrations and reporting.
• Provide production support incident response and root-cause analysis for data platform issues.
• Evaluate and adopt new platform features (e.g. Snowflake Native Apps Databricks Unity Catalog) to improve governance and automation.

Qualifications :

• Hands-on Snowflake administration: warehouse management query tuning clustering caching cost governance Time Travel and replication.
• Hands-on Databricks administration: workspaces clusters SQL Warehouses jobs policies and workload isolation.
• Experience with Databricks Unity Catalog data governance lineage and access controls.
• Proficiency in SQL and scripting with Python and/or PowerShell.
• Experience with Azure data services (Data Factory Databricks Azure SQL) including connectivity authentication and monitoring.
• Strong understanding of platform security: RBAC encryption auditing masking and Entra ID integration.
• Experience with backup recovery and DR strategies including Snowflake replication and Time Travel.
• Proven production support skills with ability to resolve complex cross-platform incidents.
• Familiarity with CI/CD and DevOps practices for data platform deployments.
• Solid documentation skills SOPs runbooks architecture diagrams and DR plans.
• Clear communicator who works well with both technical and non-technical stakeholders.
• Awareness of AI services relevant to platform administration.

Additional Information :

• BS in Computer Science Engineering Information Systems or equivalent practical experience (typically 57 years) in data platforms database administration or software engineering. 

Remote Work :

Yes

Employment Type :

Full-time