Solutions Architect - Managed Services; Cloud Data Platforms l Snowflake, AWS, Azure

Job details

Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure)

Salary: $165,000 - $190,000 per year

A bit about us

Founded over a decade ago, we are a leading AI and data services partner helping global brands design, build, and run modern data and AI platforms on Snowflake and major cloud providers. We specialize in data engineering, analytics, and managed services, combining deep technical expertise with a global delivery model to maximize business value from data.

Why join us

• Competitive base compensation + bonus
• Remote first
• Comprehensive Benefits
• 4 weeks PTO + 10 holidays
• Accelerated learning and professional development with advanced training and certifications (e.g., Snowflake, cloud).
• High-Impact Work:
  Join a specialized Elastic Operations team running mission-critical cloud data platforms for leading enterprises.
• Autonomy &
  
  Collaboration:
  
  Work in a culture that prizes autonomy, creativity, transparency, and cross-functional collaboration.

• Key
  
  Responsibilities and Duties:
  
  
• Lead the design, architecture, and implementation of large-scale cloud-native data platform solutions on Snowflake, AWS, and Azure.
• Drive data migrations, integrations, and performance tuning across data warehouses, data lakes, and distributed systems to optimize reliability and cost.
• Own platform security, data governance, and process engineering to ensure robust, scalable, and continuously improving data environments.
• Manage multiple client engagements as a trusted advisor, collaborating with cross-functional teams and mentoring junior engineers to maximize platform ROI and customer success.

• Bachelor’s degree in Computer Science, Engineering, or related field (advanced degrees or relevant certifications are a plus).
• At least 10 years of hands-on experience architecting, designing, implementing, and managing cloud-native data platforms (Snowflake, Redshift, Azure Data Warehouse) on AWS and/or Azure.
• Proven client-facing consulting experience, including presenting to executive stakeholders and creating detailed solution documentation.
• Strong technical depth in SQL, infrastructure-as-code (Terraform or Cloud Formation), CI/CD (e.g., Git Hub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark).