Senior Devops Engineer with Databricks

• 6+ years in data platform engineering, DataOps, platform engineering, DevOps or SRE.
• At least 5+ years of hands-on Terraform and IaC experience, including modules, state management, imports, plans, provider and version control, environment separation, drift detection and CI/CD.
• Strong Python engineering for APIs, automation, testing, packaging, structured logging, error handling and reusable tooling.
• Production experience operating Databricks and Unity Catalog.
• Strong production Apache Airflow experience.
• Experience operating dbt environments, jobs and CI/CD workflows.
• AWS IAM, S3, VPC/private connectivity, KMS, Secrets Manager and CloudWatch.
• Git, CI/CD, REST APIs, SQL, Linux, OAuth, SAML/SCIM and service-principal authentication.
• Experience with monitoring, incident response, change control, rollback and cost management.
• Relevant Databricks platform training or certification is highly preferred.

Responsibilities

• Provision and manage platform resources through reusable Terraform modules and configuration as code.
• Operate Databricks accounts and workspaces, including identities, groups, service principals, entitlements, compute policies, clusters, SQL warehouses and Jobs/Workflows.
• Configure Unity Catalog metastores, catalogs, schemas, external locations, storage credentials, workspace bindings, ownership and least-privilege access.
• Operate dbt projects, environments, connections, jobs, permissions, service tokens, CI quality gates and promotion controls.
• Engineer production Astro/Airflow capabilities covering DAG standards, dependencies, retries, timeouts, concurrency, backfills, ing and safe recovery.
• Orchestrate and integrate Fivetran, dbt, Databricks and Atlan using APIs, webhooks and workload identities.
• Implement Fivetran usage monitoring, cost thresholds, non-production lifecycle guardrails and configuration portability.
• Enable governed Atlan and Tableau connectivity, metadata, lineage, access and operational workflows.
• Implement ADLC controls for branching, testing, approval, environment promotion, deployment evidence and rollback.
• Integrate identity and access workflows with Okta or equivalent identity providers and ServiceNow.
• Establish platform and pipeline SLOs; monitor reliability, schema changes, data quality, usage and cost.
• Troubleshoot incidents, perform root-cause analysis and automate recurrence prevention.
• Maintain runbooks, configuration inventories, access evidence and recovery procedures.