DevOps Solutions Architect - (Managed Services)

$170k - $205k

Jobot

Build, automate, and optimize enterprise data platforms across AWS and Snowflake environments
This Jobot Job is hosted by: Robert Donohue
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary: $170,000 - $205,000 per year
A bit about us:
We are a leading modern data consultancy helping enterprise organizations solve complex cloud, analytics, AI, DevOps, and data engineering challenges. Our teams partner with top cloud and data platforms including Snowflake, AWS, Azure, Databricks, dbt, Kafka, Fivetran, and more to deliver scalable enterprise solutions for some of the world’s largest organizations.
Operating in a remote-first environment across the United States, Latin America, and India, we continue to grow rapidly while maintaining a collaborative, highly technical culture focused on ownership, innovation, and continuous learning.
Why join us?
Competitive compensation: $170K–$225K base salary + bonus
Remote-first work environment with nationwide flexibility
Opportunity to work with cutting-edge cloud technologies including AWS, Snowflake, Spark, Kafka, Airflow, and Databricks
Exposure to enterprise-scale cloud modernization and managed data platform environments
Award-winning culture focused on autonomy, collaboration, and innovation
Accelerated learning and professional development through advanced certifications and training
Strong PTO, healthcare benefits, holidays, and career growth opportunities
Work alongside highly technical cloud and data engineering professionals
Job Details
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
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
Interested in hearing more? Easy Apply now by clicking the "Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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