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Control M Architect Jobs (NOW HIRING)

1 point system

Databricks Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Control-M) Automate data pipelines, deployments, and operational processes through CI/CD pipelines ... architects, data scientists, BI teams, and business stakeholders to deliver data solutions ...

1 point system

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

... Control-M) Automate data pipelines, deployments, and operational processes through CI/CD pipelines ... architects, data scientists, BI teams, and business stakeholders to deliver data solutions ...

K Anand Corporation

Senior Data Engineer

Detroit, MI · On-site

$97K - $131K/yr

Implement job scheduling, monitoring, and operational support using Control-M (alerting, retries ... Snowflake: Strong expertise in Snowflake architecture, SQL development, performance tuning ...

Gurus Infotech, Inc.

Bigdata / ETL Developer

Wilmington, DE · On-site

$49.50 - $64.75/hr

... architecture disciplines Understanding of architecture and design across all systems Working ... like Control-M and Ni-Fi is highly desired. Strong exposure in Data Management, Governance and ...

Compunnel

Oracle FCCM/ECM Dev

Mount Laurel, NJ · On-site

... and Control-M for batch processing and workflow automation. • Participate in code reviews and ... architects throughout the Software Development Life Cycle (SDLC). • Support Agile development ...

Worky

Director, Software Engineering

Durham, NC · On-site

$229K/yr

Position Description Designs, architects, builds, and automates customized data pipelines that ... Control-M. * DE performing mainframe application development and performance tuning within Time ...

Worky

Director, Software Engineering (Durham)

Durham, NC · On-site

$240K/yr

Position Description Designs, architects, builds, and automates customized data pipelines that ... Control-M. * DE performing mainframe application development and performance tuning within Time ...

Judge Group, Inc.

Mainframe Developer

Salt Lake City, UT · On-site

$105K - $115K/yr

As a member of a collaborative engineering team, you'll work alongside architects, business ... Support and monitor Control-M batch scheduling and workflow execution to ensure operational ...

PNC

Software Engineer Principal - Mainframe

Pittsburgh, PA

$131K - $175K/yr

CA7 / Control-M (job scheduling and batch processing) * Proven ability to design and support ... Architecture, Packaged Application Integration, Product and Vendor Evaluation, Software Process ...

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How much do control m architect jobs pay per year?

As of Sep 10, 2026, the average yearly pay for control m architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Control M Architect job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 72% Full Time, 14% Part Time, and 11% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Databricks Engineer

Chicago, IL • On-site

1 point system
IT Services • 51 - 200 employees
Learn more about 1 point systemexternal

$118K - $141K/yr

Contractor

Re-posted 10 days ago

Job description

Job Description:

Key Responsibilities

Data Engineering & Pipeline DevelopmentDesign, develop, and maintain end-to-end data pipelines in Databricks using Spark and Delta Lake
Build and optimize ELT/ETL processes for structured and unstructured data ingestion into the Data Lakehouse
Implement scalable ingestion patterns (batch and event-driven) from internal systems, third-party APIs, and cloud sources
Develop data models (bronze, silver, gold layers) to support enterprise reporting, analytics, and downstream consumption
Data Platform & IntegrationIntegrate the Data Lakehouse with enterprise tools such as Tableau, Alteryx, and machine learning platforms
Design and implement data access controls, identity management, and secure data sharing mechanisms
Support API-based integrations and downstream data consumption patterns
Data Quality, Governance & ControlsImplement data quality checks, reconciliation processes, and monitoring within Databricks pipelines
Ensure adherence to enterprise data governance standards, including lineage, metadata, and audit requirements
Support regulatory and compliance requirements (e.g., data integrity, privacy, and security controls)
Cloud & AutomationDevelop and manage workflows using orchestration tools (e.g., Airflow, Control-M)
Automate data pipelines, deployments, and operational processes through CI/CD pipelines
Leverage cloud-native services (AWS/Azure) for data processing, storage, and event-driven architectures
Operations & SupportMonitor, troubleshoot, and optimize data pipelines and Spark workloads for performance and reliability
Support production data platforms, including incident resolution and root cause analysis
Ensure high availability, data integrity, and SLA adherence across enterprise data systems
CollaborationPartner with data architects, data scientists, BI teams, and business stakeholders to deliver data solutions
Participate in Agile ceremonies and contribute to iterative delivery of data products
Translate business requirements into scalable technical data solutions

Required Qualifications

8+ years of experience in data engineering, data platforms, or related roles
Hands-on experience with Databricks, Apache Spark (PySpark), and Delta Lake
Strong SQL and data modeling skills (relational and dimensional)
Experience building and supporting data pipelines in a cloud environment (AWS or Azure)
Experience with ELT/ETL tools (e.g., Fivetran, custom ingestion frameworks)
Familiarity with data orchestration tools (Airflow, Control-M)
Experience working in Agile development environments
Preferred QualificationsExperience in financial services or regulated environments (e.g., banking, risk, regulatory reporting)
Knowledge of data governance frameworks and tools (e.g., Collibra)
Experience with real-time or streaming data pipelines
Exposure to machine learning pipelines and feature engineering in Databricks
Cloud certifications (AWS, Azure, or Databricks)
Technical SkillsDatabricks (Lakehouse architecture, notebooks, jobs, Unity Catalog)
Spark / PySpark
SQL (advanced querying and optimization)