Principal Solutions Architect - Managed Services

We are seeking a Principal 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

Salary: $170,000 - $205,000 per year, * 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

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.