Senior DataOps Engineer

• 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

• 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

• 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