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.
