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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks DevOps Engineer - **Company:** Satsyil Corporation - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Audit Trail, Microsoft Azure, Bash Shell, Cloud Computing, Continuous Integration, Data Architecture, Information Engineering, Data Governance, DevOps, Github, Identity and Access Management, Python (Programming Language), Key Management, Machine Learning, Windows PowerShell, Role-Based Access Control, Release Management, Runbook, SQL Databases, Datadog, Google Cloud, Cloud Platform System, Cloud Monitoring, Grafana, Apache Spark, Amazon Virtual Private Cloud (VPC), Cloudformation, SC Clearance, Containerization, Data Lakes, Gitlab-ci, Git Flow, Kubernetes, Information Technology, Data Lineage, Bicep, Hashicorp, Data Management, Machine Learning Operations, Cloud Optimization, Cloudwatch, Restful APIs, Terraform, Software Version Control, Docker, Jenkins, Databricks - **Published:** September 29, 2026 - **Apply:** https://www.dice.com/job-detail/b5c01d9b-5073-44d6-ade8-f6f155936fff ## About the Role · Experience: 8+ years of experience in DevOps, cloud infrastructure, or platform engineering, with at least 3 years working hands-on with Databricks. · IaC & Cloud Infrastructure: Strong experience with Terraform, the Databricks Terraform Provider, and deep expertise in at least one major cloud platform (Azure, AWS, or Google Cloud Platform) including networking, IAM, and storage. · CI/CD & Automation: Proven experience building CI/CD pipelines for data platforms; proficiency in Python, Bash, or PowerShell for automation, plus familiarity with Databricks REST API and CLI. · Architecture & Governance: Solid understanding of Apache Spark, Delta Lake, Lakehouse architecture, and hands-on experience with Unity Catalog administration and data governance. · Workflows: Strong knowledge of Git-based workflows and branching strategies. · Visa Type: US Ctizenship · Clearance & Citizenship: U.S. Citizenship required; must possess or have the ability to obtain Public Trust / Secret clearance. · Communication & Education: Excellent communication skills to work with technical and non-technical stakeholders. Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Preferred Qualifications & Nice-to-Haves: · Experience with Databricks Asset Bundles (DABs), Delta Live Tables (DLT), containerization (Docker, Kubernetes), and MLOps practices using MLflow at scale. · Familiarity with FinOps and cloud cost optimization for data workloads. · Prior experience supporting federal government programs or regulated industries. 4. Preferred Certifications Candidates possessing any of the following certifications will be prioritized: · Databricks Certified Data Engineer Professional · Databricks Certified Platform Administrator · AWS Certified DevOps Engineer - Professional · HashiCorp Certified: Terraform Associate ## Description Satsyil Corp is seeking an experienced Senior Databricks DevOps Engineer to design, automate, and maintain enterprise-scale Databricks environments. In this role, you will build the platform foundations that enable data engineers, data scientists, and analysts to work efficiently and securely. You will own CI/CD pipelines, infrastructure as code, workspace governance, and operational reliability across cloud-based Lakehouse environments, while serving as a technical leader and mentor on the team. 2. Key Roles & Responsibilities · Design, deploy, and manage Databricks workspaces across AWS, Azure, or Google Cloud Platform using infrastructure as code (Terraform, Databricks Terraform Provider, ARM/Bicep, or CloudFormation). · Build and maintain CI/CD pipelines for notebooks, jobs, Delta Live Tables, ML models, and libraries using Databricks Asset Bundles, Azure DevOps, GitHub Actions, GitLab CI, or Jenkins. · Implement and administer Unity Catalog, including metastore configuration, catalog and schema design, access controls, data lineage, and audit logging. · Configure and optimize clusters, SQL warehouses, cluster policies, and job compute to balance performance and cost. · Establish security best practices, including network isolation (VNet/VPC injection, Private Link), secrets management, SCIM provisioning, SSO integration, and role-based access control. · Develop monitoring, alerting, and observability solutions for platform health, job performance, and cost tracking using tools such as Datadog, Azure Monitor, CloudWatch, or Grafana. · Automate environment promotion (dev, test, prod) and enforce release management, version control, and change management standards. · Support MLOps workflows using MLflow, Model Registry, and Model Serving. · Troubleshoot platform, pipeline, and performance issues, and lead root-cause analysis for production incidents. · Partner with data engineering, security, and architecture teams to define platform standards and reference architectures. · Mentor junior engineers and contribute to technical documentation, runbooks, and knowledge sharing. · Ensure compliance with organizational and regulatory requirements (e.g., FedRAMP, NIST 800-53, FISMA, HIPAA, or SOC 2, as applicable). ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Database DevOps with Containers](https://www.wearedevelopers.com/videos/145-database-devops-with-containers) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [DevOps Engineer Salary [2023]](https://www.wearedevelopers.com/magazine/203-devops-engineer-salary-2023)