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# DevOps Solutions Architect

- **Company:** Jobot
- **Location:** Pittsburgh, PA, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Analysis, Cloud Database, Cloud Engineering, Program Optimization, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Data Streaming, Enterprise Data Management, Cloud Platform System, Snowflake, Apache Spark, Cloudformation, Data Lakes, Pyspark, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Data Management, Terraform
- **Published:** July 18, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=2879279797-2

## About the Role

* 8+ years of experience in Data Engineering, Cloud Architecture, Managed Services, or Solutions Architecture roles
 * Strong experience supporting enterprise cloud-native data platforms
 * Experience with streaming, orchestration, and integration technologies such as Kafka, Airflow, Fivetran, Matillion, or DBT
 * Advanced SQL optimization and troubleshooting skills
 * Experience with Infrastructure as Code tools such as Terraform or CloudFormation
 * Strong Python development and automation experience
 * Experience leading technical teams and mentoring engineers
 * Strong client-facing communication and presentation skills

Important Requirement

 * Candidates must be authorized to work in the United States without sponsorship now or in the future
 * Unable to provide visa sponsorship or C2C arrangements for this opportunity

Preferred Background:

 * Snowflake SnowPro or advanced Snowflake certifications
 * Experience within consulting, managed services, or enterprise customer environments
 * Experience with CI/CD, cloud automation, and enterprise platform operations
 * Bachelor's degree in Computer Science, Engineering, or related field preferred

## Description

We are seeking a DevOps Solutions Architect - Managed Services to lead enterprise cloud-native data platform initiatives across multiple customer environments. This is a highly hands-on technical leadership role focused on architecture, operational guidance, cloud optimization, and managed services delivery across modern enterprise data platforms.

The ideal candidate will bring deep expertise with AWS, PySpark/Spark, and Snowflake, along with strong experience operating within client-facing, consulting, or managed services environments.

What You'll Do:
Technical Leadership

 * Architect, design, and optimize enterprise cloud-native data platforms
 * Lead operational and architectural guidance for modern data warehouse and analytics environments
 * Design scalable and high-performing cloud data solutions leveraging AWS, Snowflake, Spark/PySpark, Airflow, Kafka, and related technologies
 * Lead technical teams supporting streaming, data lake, warehouse, and analytics ecosystems
 * Mentor engineers and guide technical delivery across multiple simultaneous customer engagements
 * Drive automation, platform optimization, scalability, and performance improvements

Client Engagement & Managed Services

 * Serve as the technical lead across multiple customer accounts and evolving technology stacks
 * Build Epics, Stories, and Tasks to improve and mature enterprise data platforms
 * Present technical recommendations and architectural solutions to executive stakeholders
 * Collaborate closely with customers to troubleshoot, optimize, and evolve cloud data environments
 * Lead technical discussions around data modeling, orchestration, governance, and platform modernization

What You Bring:

 * Strong hands-on expertise with:

o AWS
o PySpark / Spark
o Snowflake


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