Solutions Architect – Managed Services

Want to learn more about this role and Jobot? Click our Jobot logo and follow our Linked In page!

We’re a global leader in data and AI/ML services and one of the fastest-growing companies in the modern data stack space. We partner with top cloud platforms like Snowflake, AWS, Azure, GCP, Databricks, Fivetran, Pinecone, Glean, and dbt to deliver innovative data, cloud, and machine learning solutions that help enterprises unlock the true power of their data.

With a decade of 40%+ year-over-year growth, we’ve become a 6x Snowflake Partner of the Year (2020–2025) and earned accolades as an award-winning workplace in the US, LATAM, and India.

We’re a remote-first organization with a collaborative, casual culture that prizes autonomy, creativity, and curiosity. You’ll work alongside some of the brightest minds in data engineering and AI/ML — all driven by a shared passion to solve the toughest data challenges for leading global enterprises.

• Competitive Compensation: $150,000 – $190,000+ base salary (depending on experience)
• Remote-First:
  Work from anywhere in the US with occasional customer-site travel nationwide
• Massive Growth:
  Be part of a company growing 40% YOY, creating career advancement opportunities
• Cutting-Edge Tech:
  Build enterprise-scale solutions leveraging Snowflake, Databricks, AWS, GCP, Azure, Kafka, and more
• Award-Winning Culture:
  Collaborative, inclusive, and committed to professional development
• Learning & Development:
  Accelerated training, advanced certifications, and exposure to AI/ML innovation
• Time Off & Benefits: 4 weeks PTO, 10 paid holidays, health/dental/vision insurance, 401(k), and additional perks

As a Solutions Architect on the Managed Services team, you will be responsible for leading and supporting enterprise data platforms in production environments.

Key responsibilities include:

• Designing, architecting, and implementing data platforms across Snowflake, AWS, and Azure
• Leading data migrations and integrations for cloud data warehouses and data lakes
• Managing and optimizing platform performance through monitoring, automation, and tuning
• Implementing security, governance, and access controls aligned with industry standards
• Building and maintaining infrastructure using infrastructure‑as‑code and CI/CD practices
• Writing, debugging, and optimizing complex SQL queries
• Working directly with client stakeholders to gather requirements and present solutions
• Producing technical documentation including system designs, roadmaps, and operational plans
• Serving as a technical lead for ongoing managed services engagements
• Mentoring engineers and supporting cross‑functional delivery teams

Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.