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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in administering Databricks workspaces and AWS services, with a strong focus on data platform support, automation, and security practices. Proficient in monitoring, troubleshooting, and optimizing data workflows and infrastructure using industry-standard tools and methodologies.
Highest-signal resume keywords
Databricks AdministrationAWS Services SupportTerraform Infrastructure as CodeMonitoring and ObservabilityData Governance and Security
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Databricks WorkspacesSpark WorkloadsAWS EC2TerraformMariaDB/MySQLMongoDBCI/CD PipelinesBash ScriptingPython ScriptingKubernetes Administration
Soft Skills
Strong CommunicationCollaboration Skills
Tools & Technologies
PrometheusGrafanaDatadogGitHub ActionsRootly
Industry Keywords
DataOpsIncident ManagementCloud InfrastructureAccess GovernanceOperational Readiness
Tech Stack
Tools & technologiesAWSCloudEC2GrafanaKubernetesMariaDBMongoDBMySQLPrometheusPythonSparkSQLTerraformUnity
About the role
Key responsibilities & impact- Administer and support Databricks workspaces, cluster policies, compute configurations, jobs, workflows, libraries, service principals, permissions, and platform integrations
- Support Unity Catalog access governance, catalog and schema permissions, and secure data sharing
- Monitor and troubleshoot Delta Live Tables, Spark jobs, Delta Lake workloads, and data pipelines
- Maintain secure and reliable integrations between Databricks and AWS services, including S3, IAM, networking, VPC connectivity, and external data sources
- Support AWS infrastructure used by the data platform, including EC2, VPC, IAM, security groups, networking, patching, and operational access
- Support MariaDB/MySQL and MongoDB environments, including availability, monitoring, connectivity, backup coordination, performance troubleshooting, and recovery
- Build and maintain monitoring, dashboards, logs, metrics, and alerts across platforms, pipelines, databases, infrastructure, and integrations
- Participate in on-call support and lead production incident investigation, mitigation, recovery, communication, and root-cause analysis
- Build and maintain infrastructure and automation using Terraform, Terraform Enterprise, Git, GitHub Actions, CI/CD pipelines, and scripting
- Automate provisioning, access configuration, monitoring deployment, recovery, and platform changes
- Manage secure access controls, secrets, certificates, TLS configuration, service accounts, and IAM roles
- Improve operational readiness through runbooks, recovery procedures, architecture diagrams, standards, escalation paths, and technical documentation
- Partner with engineering and infrastructure teams on capacity planning, platform performance, cost visibility, and resource optimization
- Explore practical uses of AI and automation to improve troubleshooting, documentation, incident response, and operational efficiency
Requirements
What you’ll need- Strong experience supporting production data platforms, cloud infrastructure, or DataOps environments
- Hands-on experience administering and supporting Databricks, including workspaces, jobs, workflows, compute, cluster policies, and access controls
- Experience supporting Spark, Delta Lake, and Delta Live Tables workloads
- Strong experience with AWS services such as EC2, VPC, IAM, S3, security groups, CloudWatch, and networking
- Experience with infrastructure as code using Terraform and Terraform Enterprise or similar tools
- Experience supporting MariaDB/MySQL and MongoDB in production environments
- Strong understanding of monitoring, observability, alerting, and incident-management practices
- Experience with CI/CD, Git, GitHub Actions, and automation using Bash, Python, PowerShell, or similar scripting languages
- Experience troubleshooting platform performance, connectivity, permissions, certificates, TLS, and integration issues
- Experience with production support, root-cause analysis, post-incident reviews, and on-call operations
- Strong understanding of security and access concepts such as IAM, RBAC, secrets management, certificates, and secure connectivity
- Strong communication and collaboration skills with the ability to work across Data Engineering, Analytics, Security, Infrastructure, Database, and application teams
- Experience with Unity Catalog, Databricks SQL, Databricks CLI, REST APIs, and Databricks asset or deployment bundles
- Experience with Kubernetes administration and production troubleshooting
- Experience with monitoring tools such as Prometheus, Grafana, Datadog, or similar platforms
- Experience with Rootly or similar incident-management platforms
- Experience with MongoDB Atlas, Ops Manager, or comparable MongoDB tooling
- Experience with MariaDB/MySQL replication, schema migrations, indexing, backup validation, and restore procedures
- Experience with capacity planning, cloud cost optimization, and workload performance tuning
- Experience implementing or improving data governance, compliance controls, or audit processes
- Experience using AI-assisted tools to improve operations, troubleshooting, documentation, or automation
Benefits
Comp & perks- Medical Insurance
- Savings Fund
- Life Insurance
- Internet and Electricity Allowance
- Paid time off such as vacation and parental leave
- Competitive compensation and benefits package designed to support physical, financial, and professional well-being