Senior AWS Support Engineer
American IT Systems•San Antonio, TX
•$60 - $65•Onsite
About The Position
UST is searching for a Senior DataOps AWS Support Engineer responsible for the operational stability, monitoring, troubleshooting, and continuous improvement of AWS-based data workloads.
Requirements
- 5 -9 years of experience
- Strong experience supporting production AWS data platforms, analytics environments, or cloud-native applications
- Hands-on experience with Databricks, including workflows, clusters, notebooks, Delta tables, SQL, and job troubleshooting
- Working knowledge of AWS services such as S3, IAM, CloudWatch, and account or environment access controls
- Strong SQL skills and the ability to investigate data issues directly in analytical platforms
- Experience troubleshooting batch and streaming data pipelines in production
- Experience with incident management, operational triage, root-cause analysis, and post-incident actions
- Working knowledge of Python or another scripting language for diagnostics and automation
- Experience with monitoring and observability tools such as Datadog, CloudWatch, or equivalent platforms
- Experience supporting CI/CD workflows and infrastructure-as-code practices, preferably GitLab and Terraform
- Ability to document technical procedures clearly and communicate effectively with engineering, business, and vendor teams
- Ability to work in a managed-services environment with defined response expectations, ticket queues, escalation paths, and on-call coverage
Nice To Haves
- Python / Scripting
- Datadog / CloudWatch / Observability Tools
- GitLab / CI/CD
- Terraform / Infrastructure as Code
- AWS DataOps / Cloud Data Platform Production Support / Managed Services
Responsibilities
- Provide production support for AWS DataOps workloads across Databricks StoreOps and APIHUB
- Monitor Databricks jobs, workflows, clusters, notebooks, Delta tables, Unity Catalog assets, and data-access controls
- Support AWS data-lake services, including S3, IAM, CloudWatch, networking dependencies, and account-level access patterns
- Troubleshoot failed jobs, delayed loads, data freshness issues, compute problems, pipeline interruptions, schema changes, and environment-specific deployment failures
- Support APIHUB services, including FastAPI or REST/SOAP endpoints, API dependencies, OpenSearch indexes, PostgreSQL or equivalent stores, and service-health monitoring
- Investigate ingestion and integration issues involving Kafka, Confluent Cloud, GoldenGate, GCP Pub/Sub, S3 sinks, Databricks Auto Loader, and cross-cloud data flows
- Perform first-response triage, impact assessment, incident coordination, stakeholder communication, and escalation for high-priority issues
- Use logs, job history, SQL analysis, Databricks run details, CloudWatch, Datadog, OpenSearch, Kafka tooling, and service metrics to isolate failures
- Validate data completeness, freshness, record counts, duplicates, schema compatibility, and downstream availability
- Support access requests involving AWS accounts, Databricks workspaces, Unity Catalog, S3 paths, AD groups, service accounts, secrets, and governed datasets
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
