DevOps Solutions Architect - (Managed Services)

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 "Quick Apply" buttonand 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 "Quick 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. Sometimes Jobot is required to perform background checks with your authorization. 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