Data Solutions Architect - Managed Services

Join the fastest growing data companies going! Awesome opportunity for growth.

This Jobot Job is hosted by:
Adam Bennett
Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume.
Salary: $160,000 - $190,000 per year

A bit about us:

We’re a fast-growing data and cloud services organization that partners with clients to build, operate, and continuously improve modern data platforms. Our team supports companies after their platforms go live—helping them scale, run efficiently, optimize performance, and maintain reliability across complex cloud ecosystems.

Our work spans cloud engineering, platform operations, and data infrastructure modernization on leading technologies. We step in as long-term partners, not just implementers, helping our customers get the most out of their investments through hands-on expertise, strong operational rigor, and a deep understanding of how great platforms should run.

Why join us?

If you enjoy working directly with external customers, solving real-world operational challenges, and being the technical expert they rely on day-to-day, this is an ideal role. You’ll work with modern data stacks, cloud-native architectures, and high-scale environments—while partnering closely with engineering, platform, and business stakeholders.

You’ll join a team that values curiosity, autonomy, mentorship, and continuous improvement. This is a place where engineers sharpen their architecture skills, broaden their cloud expertise, and grow through real hands-on time with diverse customer environments. The work is fast-paced, varied, and impactful—perfect for someone who thrives in consulting, enjoys problem-solving across multiple customers, and wants exposure to advanced cloud and data technologies.

Job Details

You’ll be part of a customer-facing managed services team supporting cloud-native data platforms s role is heavily focused on platform operations, cloud infrastructure, Dev Ops, DBA-style optimization, and incident-to-improvement cycles, rather than pure software engineering.

What You’ll Do

Platform Operations & Optimization:

• Maintain, monitor, and enhance customer data platforms across cloud environments.
• Improve cost efficiency, performance, scalability, and reliability across Snowflake, AWS, Azure, and related ecosystems.
• Apply strong Fin Ops, data ops, and IT operations skills to keep platforms stable, predictable, and efficient.
• Build, improve, and support CI/CD pipelines for data and platform deployments.
• Leverage IaC (Terraform/Cloud Formation) to automate provisioning and environment consistency.
• Implement monitoring, alerting, runbooks, and incident management best practices.
• Lead or support migrations, integrations, and modernization efforts across cloud data warehouses, data lakes, and distributed systems.
• Evaluate and deploy platform features, services, and enhancements to align with customer business goals.

Customer Partnership

• Act as a trusted advisor to customers, guiding best practices, identifying risks, and driving ongoing platform evolution.
• Communicate clearly with technical and non-technical stakeholders, ensuring transparency and predictable outcomes.

Technical Competencies needed:

• Hands-on experience with cloud data platforms (Snowflake, Redshift, Big Query, Azure Analytics, etc.), including performance tuning and troubleshooting.
• Expertise in AWS and/or Azure services related to data, compute, storage, networking, and integration.
• Deep understanding of Dev Ops, CI/CD, and infrastructure-as-code tools (Terraform, Cloud Formation, Git-based pipelines).
• Strong SQL experience, including debugging and optimizing queries.
• Background in monitoring, incident management, capacity planning, and environment stability.
• Consulting experience working directly with external clients.

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…