Job 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, setting 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

About Company:

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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