What are the responsibilities and job description for the Databricks Platform Admin position at Smart IT Frame LLC?
Job Title: Databricks Platform Administrator
Location: Washington, DC (Hybrid)
Work Type: Contract
Job Description:
Works with the Data Platform team on the design, build, and optimization of the Databricks ecosystem, including Fivetran ingestion and dbt transformation pipelines. Ensures scalable, reliable compute environments, seamless AWS integration, and automated deployments using Terraform and GitHub Actions. This role is focused on developing new capabilities in machine learning, advanced analytics, and unified data pipelines.
Key Responsibilities
- Design, deploy, and optimize Databricks workspaces and clusters on AWS to support data science and modeling workloads.
- Manage Fivetran connectors and dbt projects for end-to-end data ingestion, transformation, and orchestration across Databricks, S3, and Snowflake.
- Automate infrastructure provisioning and configuration using Terraform integrated with GitHub Actions.
- Architect and implement high availability (HA) and disaster recovery (DR) strategies, including cross-region replication and failover.
- Implement job orchestration, cluster policies, autoscaling, and CI/CD workflows for notebooks, models, and releases.
- Establish monitoring and alerting for cost, usage, pipeline health, data freshness, and compliance using tools such as Datadog.
- Collaborate with platform segments and security teams to enforce governance, tagging, rightsizing, SLAs, and audit readiness.
- Develop and maintain Unity Catalog for governance, lineage, and secure data sharing across platforms.
- Build and maintain MLflow integrations for model lifecycle management, experimentation tracking, and deployment.
Must Have Skills
- Deep expertise in Databricks administration, cluster management, job scheduling, Unity Catalog, Fivetran, and dbt (Core/Cloud).
- Proficiency in Terraform, GitHub Actions, and Python/PySpark for automation.
- Strong knowledge of AWS services, including EKS, ECS, IAM, S3, VPC networking, and CloudWatch.
- Experience in pipeline reliability engineering, cost optimization, ML CI/CD, HA/DR design, and observability.