Job description

Senior DataOps AWS Support Engineer The Role 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. What You’ll Do · 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 This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required. What You Need · 5+ 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 Location & Compensation Compensation can differ depending on factors including but not limited to the specific office location, role, skill set, education, and level of experience. UST provides a reasonable range of compensation for roles that may be hired in various U.S. markets as set forth below. Role Location: Texas Compensation Range: $96,000-$117,000 Who We Are Since 1999, UST has worked side by side with the world’s best companies to make a powerful impact through transformation. Headquartered in the United States, UST is powered by technology, driven by AI, inspired by people, and led by our purpose, we partner with our clients from design to operation. Our AI-driven digital solutions, proprietary platforms, engineering, R&D, products, and innovation ecosystem turn core challenges into impactful, disruptive business outcomes. With deep industry knowledge and a future-ready mindset, we infuse expertise, innovation, and agility into our clients’ organizations—delivering measurable value and positive lasting change for them, their customers, and communities around the world. Together, with 30,000+ employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at . Benefits Full-time, regular employees accrue a minimum of 10 days of paid vacation per year, receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year), 10 paid holidays, and are eligible for paid bereavement leave and jury duty. They are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance, as well as the following Company-paid Employee Only benefits: basic life insurance, accidental death and disability insurance, and short- and long-term disability benefits. Regular employees may purchase additional voluntary short-term disability benefits, and participate in a Health Savings Account (HSA) as well as a Flexible Spending Account (FSA) for healthcare, dependent child care, and/or commuting expenses as allowable under IRS guidelines. Benefits offerings vary in Puerto Rico. Part-time employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) Retirement Plan with employer matching. Full-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year) and are eligible to participate in the Company’s 401(k) program with employer matching. They and their dependents residing in the US are eligible for medical, dental, and vision insurance. Part-time temporary employees receive 6 days of paid sick leave each year (pro-rated for new hires throughout the year). All US employees who work in a state or locality with more generous paid sick leave benefits than specified here will receive the benefit of those sick leave laws. Equal Employment Opportunity Statement UST is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other applicable characteristics protected by law. We will consider qualified applicants with arrest or conviction records in accordance with state and local laws and “fair chance” ordinances. UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance. #UST #CB

Requirements

Must-haves

Senior DataOps AWS Support Engineer
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.
What You’ll Do
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
This position description identifies the responsibilities and tasks typically associated with the performance of the position. Other relevant essential functions may be required.
What You Need
5+ 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

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsrestapigcpsqlpythonci/cdai

Platform: ust
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)