Role Description

- 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, workplace 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.

Skills AWS, Terraform, Python, Databricks

📌 Senior Devops Engineer with Databricks (Noida)
🏢 UST
📍 Noida