Platform Ops Architect – Data Science Platform

Job Description:

The candidate must be highly hands-on with Databricks on AWS comfortable with Terraform-based infrastructure provisioning and able to improve DevOps/MLOps processes across Dev QA and Production environments. The person must also be comfortable working in ambiguity and bringing structure to evolving platform needs.

Essential Job Functions:

• Work Mode: Hybrid 3 days/week in office

• Maintain enhance and support the enterprise Data Science Platform.

• Provision and manage platform environments for multiple teams using Terraform and AWS.

• Support deployment and productionization of ML pipelines data pipelines notebooks jobs workflows and platform features.

• Standardize promotion of changes from Dev QA Prod.

• Work hands-on with Databricks workspaces clusters jobs workflows Unity Catalog Delta Lake MLflow secrets access controls and deployment patterns.

• Improve platform reliability security performance cost monitoring and operational efficiency.

• Create reusable automation Terraform modules runbooks release processes and operating standards.

• Troubleshoot platform Databricks AWS CI/CD access pipeline and deployment issues.

• Work with data science data engineering DevOps cloud security and product teams.

Basic Qualifications:

• 710 years of experience in platform operations cloud engineering DevOps MLOps or data platform support.

• Strong hands-on experience with Databricks on AWS.

• Strong hands-on experience with Terraform for infrastructure provisioning.

• Good understanding of AWS services such as IAM S3 VPC EC2 CloudWatch KMS Secrets Manager Lambda/Glue.

• Experience managing Dev QA Stage and Production environments.

• Strong understanding of CI/CD release management deployment automation rollback and production support.

• Good understanding of MLOps concepts such as ML pipelines model registry model promotion and production monitoring.

• Strong troubleshooting documentation communication and stakeholder management skills.

• Must be able to work independently in ambiguous and changing environments.

Other Qualifications:

• Databricks Asset Bundles Databricks CLI dbx or similar deployment tools.

• Airflow AWS Step Functions or Databricks Workflows.

• Unity Catalog governance data quality lineage and access-control experience.

• Observability tools such as CloudWatch Splunk Datadog Grafana or Prometheus.

• Docker Kubernetes or EKS.

• AWS SageMaker Bedrock GenAI RAG vector search or LLM workload experience.

• Databricks/AWS cost optimization and FinOps exposure.

Working Environment:

This is a hands-on Platform Ops Architect role based in Plano TX requiring three days per week in office. The role involves working with platform engineering data science data engineering DevOps cloud security and product teams. The candidate should be able to bring structure standardization and execution discipline in an evolving platform environment.

Note: To conform to U.S. Government space technology export regulations including the International Traffic in Arms Regulations (ITAR) you must be a US Citizen lawful permanent resident of the U.S. protected individual as defined by 8 U.S.C. 1324b(a)(3) or eligible to obtain the required authorizations from the U.S. Department of State.

At DXC Technology we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing productivity individual work styles and life circumstances. Were committed to fostering an inclusive environment where everyone can thrive.

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