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 Dev Ops/MLOps processes across Dev, QA, and Production environments. The person must also be comfortable working in ambiguity and bringing structure to evolving platform needs.

• 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 work spaces, 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, Dev Ops, cloud, security, and product teams.

• 7–10 years of experience in platform operations, cloud engineering, Dev Ops, 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, Cloud Watch, 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.

• 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 Cloud Watch, Splunk, Datadog, Grafana, or Prometheus.
• Docker, Kubernetes, or EKS.
• AWS Sage Maker, Bedrock, GenAI, RAG, vector search, or LLM workload experience.
• Databricks/AWS cost optimization and Fin Ops exposure.

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, Dev Ops, cloud, security, and product teams. The candidate should be able to bring structure, standardization, and execution discipline in an evolving platform environment.

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR), you must be a U.S. 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.

DXC Technology Company (DXC) is an Equal Opportunity employer. All qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, pregnancy, veteran status, genetic information, citizenship status, or any other basis prohibited by law.

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Please note:

DXC will respond only to requests for accommodations due to a disability.