Data Solutions Architect - Managed Services
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Data Solutions Architect - Managed Services
$160000 - $190000 per year | Boston, MA | Remote | Permanent
Join the fastest growing data companies going! Awesome opportunity for growth.
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 at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, 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 FinOps, 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/CloudFormation) 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, BigQuery, 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 DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, 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.
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. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Apply Now
Apply Now
Data Solutions Architect - Managed Services
$160000 - $190000 per year | Boston, MA | Remote | Permanent
Join the fastest growing data companies going! Awesome opportunity for growth.
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 at scale. This role is heavily focused on platform operations, cloud infrastructure, DevOps, 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 FinOps, 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/CloudFormation) 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, BigQuery, 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 DevOps, CI/CD, and infrastructure-as-code tools (Terraform, CloudFormation, 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.
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. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy
Apply Now
Apply Now