Job ID: TX-529601692 (913090409)

Hybrid/Local (Austin ONLY) Databricks Admin with AWS, S3, IAM, SCIM, RBAC, Apache Spark, SQL notebooks, encryption, DevOps, Terraform, CI/CD, Unity Catalog, AI/ML, MLflow, data lake/lakehouse, Python/SQL/Scala experience

Location: Austin, TX (HHSC)
Duration: 3 Months
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.
The program will only allow candidates who are LOCAL TO THE AUSTIN AREA ONLY.
Please do not submit candidates who are currently out of state and are planning to move to Texas. Candidates must already reside in Texas.

Skills:
8     Required    Experience administering Databricks workspaces in a cloud environment – AWS
8     Required    Strong understanding of Databricks cluster configuration, job scheduling, and workspace management.
8     Required    Experience managing user access, roles, and permissions using IAM, SCIM, and role-based access control (RBAC).
8     Required    Proficiency with Apache Spark concepts, including performance tuning and troubleshooting.
8     Required    Experience integrating Databricks with cloud storage services (e.g., S3,)
8     Required    Experience implementing and enforcing cluster policies and workspace governance standards.
8     Required    Familiarity with Databricks SQL, notebooks, and job orchestration.
8     Required    Experience monitoring platform health, performance, and availability.
8     Required    Understanding of data security, encryption, and compliance requirements.
8     Required    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.

Description
Level Description
8 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 Description
Understands 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 considerations
The 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.

529601692.docx

Hybrid/Local (Austin ONLY) Databricks Admin with AWS, S3, IAM, SCIM, RBAC, Apache Spark, SQL notebooks, encryption, DevOps, Terraform, CI/CD, Unity Catalog, AI/ML, MLflow, data lake/lakehouse, Python/SQL/Scala experience

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