With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility℠.
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.
Tasks/Responsibilities
Manage and optimize Snowflake and Databricks environments, including performance tuning, cost controls, workload isolation, and scaling; provide secondary support for Azure SQL and Azure Data Factory.
Build and maintain 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 and maintain 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.
Required Skills/Experience
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.
Education
BS in Computer Science, Engineering, Information Systems, or equivalent practical experience (typically 5–7+ years) in data platforms, database administration, or software engineering.
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