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Senior Databricks DevOps Engineer

Satsyil CorporationWashington, DC🇺🇸United StatesPosted Oct 18, 2026

Why This Role Stands Out

This role offers a fantastic opportunity to shape enterprise-scale Databricks environments, driving innovation and efficiency through robust DevOps practices. You'll thrive here if you're a seasoned engineer eager to lead technical initiatives, mentor a team, and leverage your expertise in infrastructure as code and CI/CD within a hybrid work setting. Apply now to make a significant impact at Satsyil Corporation!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Washington, DC, United States
Posted
2 days ago
DockerSQLGitApache SparkAWSMLOpsMLflowSOC 2SSOApacheBashCloudFormationDatabricksDatadogGitHub ActionsGitLab CIGoogle CloudGrafanaHIPAAJenkinsPowerShellPythonTerraformUnityRESTAzureKubernetesCI/CDAzure DevOpsDelta LakeIAM

Job Description

Senior Databricks DevOps Engineer
Location: Washington, DC
Employment Type: Full-Time
Experience: 8+ Years
Clearance: Public Trust / Secret (U.S. Citizenship required)

About the Role
Satsyil Corp is seeking an experienced Senior Databricks DevOps Engineer to design, automate, and maintain enterprise-scale Databricks environments. You will build the platform foundations that let data engineers, data scientists, and analysts work efficiently and securely. You'll own CI/CD pipelines, infrastructure as code, workspace governance, and operational reliability across cloud Lakehouse environments. You'll also be a technical leader and mentor on the team.

Key Responsibilities

  • Design, deploy, and manage Databricks workspaces across AWS, Azure, or Google Cloud Platform using Terraform, the 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.
  • Set up security best practices: VNet/VPC injection, Private Link, secrets management, SCIM provisioning, SSO, and RBAC.
  • Build monitoring, alerting, and observability for platform health, job performance, and cost using Datadog, Azure Monitor, CloudWatch, or Grafana.
  • Automate dev/test/prod environment promotion and enforce release, 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.
  • Work with data engineering, security, and architecture teams to define platform standards and reference architectures.
  • Mentor junior engineers and write technical documentation and runbooks.
  • Ensure compliance with FedRAMP, NIST 800-53, FISMA, HIPAA, or SOC 2 requirements, as applicable.

Required Qualifications

  • 8+ years in DevOps, cloud infrastructure, or platform engineering, including at least 3 years hands-on with Databricks.
  • Strong experience with Terraform and the Databricks Terraform Provider.
  • Deep expertise in at least one major cloud (Azure, AWS, or Google Cloud Platform), including networking, IAM, and storage.
  • Proven experience building CI/CD pipelines for data platforms.
  • Proficiency in Python, Bash, or PowerShell, plus familiarity with the Databricks REST API and CLI.
  • Solid understanding of Apache Spark, Delta Lake, and Lakehouse architecture.
  • Hands-on Unity Catalog administration and data governance experience.
  • Strong knowledge of Git-based workflows and branching strategies.
  • Excellent communication skills with both technical and non-technical stakeholders.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • U.S. Citizenship required. You must hold, or be able to obtain, Public Trust / Secret clearance.

Preferred Qualifications

  • Experience with Databricks Asset Bundles (DABs), Delta Live Tables (DLT), Docker, and Kubernetes.
  • MLOps experience using MLflow at scale.
  • FinOps and cloud cost optimization for data workloads.
  • Prior experience supporting federal government programs or regulated industries.

Preferred Certifications

  • Databricks Certified Data Engineer Professional
  • Databricks Certified Platform Administrator
  • AWS Certified DevOps Engineer – Professional
  • HashiCorp Certified: Terraform Associate

Apply directly through the Satsyil Corp Portal using the link below:

                                                                           

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