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Autosys Architect Jobs (NOW HIRING)

Cognizant Technologies

Technical Architect

Minnetonka, MN · On-site

$67.50 - $81.50/hr

Minimum of 5 years of IT experience in Architecture and Administration work Minimum 2 years Talend ... Autosys/ControlM). Knowledge BigData platform tools such as Hive, Hbase, Pig. 1 to 2+ years of ...

Astronomer

Cloud Solutions Architect

$175K - $240K/yr

As a Cloud Solutions Architect, you will join our field team to deliver world-class technical ... Prior experience using or administering Apache Airflow, Autosys, UC4, Temporal, Dagster, or Prefect

360 IT Professionals

ETL Architect

Southfield, MI · On-site

Position: ETL Architect Location: Southfield, MI Duration: Contract to hire Need candidates on W2 ... Tivoli, Autosys and Ctrl-M) SQL Additional Information Regards, Vishal Rana Talent & Client ...

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How much do autosys architect jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for autosys architect in the United States is $53.37, according to ZipRecruiter salary data. Most workers in this role earn between $45.43 and $62.26 per hour, depending on experience, location, and employer.

What is an Autosys architect?

Autosys Architects are IT professionals who specialize in designing and implementing solutions using the Autosys workload automation tool. They are responsible for creating system architectures that automate, schedule, and monitor complex business processes across various platforms. Their expertise includes integration, optimization, and ensuring high availability of job scheduling systems, often working closely with developers, system administrators, and business teams. Autosys Architects also provide best practices for job management, troubleshoot issues, and guide organizations in scaling their automation environments.

What are the key skills and qualifications needed to thrive as an Autosys architect?

To thrive as an Autosys Architect, you need deep expertise in job scheduling concepts, system architecture, and Autosys administration, typically supported by a degree in computer science or a related field. Familiarity with Autosys Workload Automation, scripting languages like Shell or Python, and integration with enterprise systems such as ERP or cloud platforms is crucial, and relevant certifications can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help in designing scalable solutions and collaborating with stakeholders. These competencies are vital for ensuring reliable automation, minimizing downtime, and optimizing complex IT workflows in enterprise environments.

What are some common challenges Autosys architects face when designing enterprise job scheduling solutions?

Autosys Architects often encounter challenges such as integrating Autosys with diverse legacy and modern systems, ensuring high availability and disaster recovery, and optimizing job performance for large-scale environments. They must also address security and compliance requirements while balancing the needs of various business units. Collaboration with infrastructure, application, and security teams is key to designing robust, scalable, and maintainable solutions that align with organizational goals.

What are popular job titles related to Autosys Architect jobs?

For Autosys Architect jobs, the most frequently searched job titles are:

Infographic showing various Autosys Architect job openings in the United States as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, and 9% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $111,017 per year, or $53.4 per hour.

Solution Architect / Sr. Tech Lead

Cincinnati, OH • On-site

Bitwise
IT Services • 1 - 5K employees
Learn more about Bitwiseexternal

Other

Posted 16 days ago

Job description

Role: Solution Architect / Sr. Tech Lead
Location: Cincinnati, OH (Hybrid)  |  Full-Time / Contract
 
Key Responsibilities:
  • Design the hybrid architecture connecting legacy job schedulers and modern cloud orchestration platforms, including dependency sequencing across both environments.
  • Define and own the cross-platform SLA framework and the single escalation path for orchestration issues.
  • Lead technical engagement with client engineering leadership, translating business requirements into an architecture roadmap.
  • Direct the engineering team on bidirectional job triggering, failure propagation, and real-time dependency-status exchange between legacy and cloud workloads.
  • Own delivery through dependency mapping, co-design, build and test, and stabilization phases.
 
Required Qualifications
  • 10+ years in data engineering or platform architecture, including at least 3 years designing hybrid or multi-platform orchestration solutions.
  • Hands-on experience with cloud data platform workflow engines (for example, Databricks Workflows, Google Cloud Composer, or Apache Airflow).
  • Experience integrating legacy enterprise job schedulers (for example, IBM Tivoli Workload Scheduler, Control-M, or AutoSys) with modern cloud orchestration tools.
  • Working knowledge of open table formats (Delta Lake, Iceberg), Databricks Lakebase, Azure Service Bus, REST and Pub/Sub-based integration patterns.
  • Proven experience with event-driven architectures (pub/sub, streaming patterns) to enable high-throughput, loosely coupled message exchange.
  • Experience leading API-led connectivity strategies and delivering RESTful and event-driven APIs (OpenAPI, webhooks) to expose reusable business capabilities and support real-time, asynchronous system integration.
  • Experience defining and implementing Infrastructure-as-Code (IaC) and CI/CD strategies using Terraform and Git-based pipelines to standardize and automate deployments.
  • Ability to define KPIs, metrics, and SLAs, and translate them into actionable dashboard views for technical and business stakeholders.
  • Experience designing centralized, single-pane-of-glass dashboards that consolidate visibility across multiple, independently running systems.
  • Demonstrated experience owning SLAs and escalation processes for production data pipelines.
  • Strong client-facing communication skills; comfortable presenting architecture decisions to senior technical stakeholders.
  • Experience leveraging agentic coding platforms (for example, GitHub Copilot or Claude Code) effectively.
 
Preferred Qualifications
Prior experience on large-scale ETL modernization or cloud migration programs.

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