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.