Austin, TXSystems Analyst - Solicitation#
529601692Texas Health and Human Services Commission (HHSC)
Level Description8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.
Job DescriptionUnderstands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.
Additional job details and special considerationsThe Databricks Administrator is responsible for administering, configuring, and supporting the Databricks platform to enable scalable data engineering, analytics, and AI/ML workloads. This role ensures platform reliability, security, cost optimization, and compliance while supporting data engineers, analysts, and data scientists across the organization.The administrator will manage workspace configuration, cluster policies, user access, integrations with cloud services, and ongoing platform monitoring to support enterprise data and analytics initiatives.
Position is ONSITE/Hybrid at the location listed above (with some hybrid work – determined by the hiring manager). The program will only accept LOCAL ONLY candidates for this position.| Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity. |
| Actual Years Experience | Years Experience Needed | Required/ Preferred | Skills/Experience |
| 8 | Experience administering Databricks workspaces in a cloud environment - AWS |
| 8 | Strong understanding of Databricks cluster configuration, job scheduling, and workspace management. |
| 8 | Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC). |
| 8 | Proficiency with Apache Spark concepts, including performance tuning and troubleshooting. |
| 8 | Experience integrating Databricks with cloud storage services (e.g., S3,) |
| 8 | Experience implementing and enforcing cluster policies and workspace governance standards. |
| 8 | Familiarity with Databricks SQL, notebooks, and job orchestration. |
| 8 | Experience monitoring platform health, performance, and availability. |
| 8 | Understanding of data security, encryption, and compliance requirements. |
| 8 | Experience with DevOps or automation tools (Terraform, CI/CD pipelines, scripting). |
| 4 | Preferred | Experience administering Databricks in an enterprise or government environment. |
| 4 | Preferred | Experience with Databricks Unity Catalog for data governance and access control. |
| 4 | Preferred | Knowledge of cost management and optimization for Databricks workloads. |
| 4 | Preferred | Experience supporting AI/ML workloads using Databricks ML and MLflow. |
| 4 | Preferred | Familiarity with data lake and lakehouse architectures. |
| 4 | Preferred | Knowledge of Python, SQL, or Scala for administration and troubleshooting. |
I need Three References| Reference Name (): |
| Title (Optional) |
| Company Name (): |
| Phone Number (include area code): |
| E-mail address (Optional): |
| Professional Relationship (Optional): |
* * * * * * * * * * * * * * * Peer Co-Worker Supervisor * * * * * * * * * * * * * * * Customer End-User Subordinate
| Reference Name (): |
| Title (Optional) |
| Company Name (): |
| Phone Number (include area code): |
| E-mail address (Optional): |
| Professional Relationship (Optional): |
* * * * * * * * * * * * * * * Peer Co-Worker Supervisor * * * * * * * * * * * * * * * Customer End- User Subordinate
| Reference Name (): |
| Title (Optional) |
| Company Name (): |
| Phone Number (include area code): |
| E-mail address (Optional): |
| Professional Relationship (Optional): |
* * * * * * * * * * * * * * * Peer Co-Worker Supervisor * * * * * * * * * * * * * * * Customer End- User Subordinate