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. You’ll 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 team’s 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 Profile,Databricks 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.