What are the responsibilities and job description for the Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure) position at Jobot?
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Job details:
Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure)
This Jobot Job is hosted by: Katrina McFillin
Are you a fit? Easy Apply now by clicking the "Easy Apply" button
and sending us your resume.
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.
Job Details
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.
Qualifications:
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 CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark)
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role
and Jobot?
Click our Jobot logo and follow our LinkedIn page!\n
our LinkedIn page!
Job details:
Solutions Architect - Managed Services (Cloud Data Platforms l Snowflake, AWS, Azure)
This Jobot Job is hosted by: Katrina McFillin
Are you a fit? Easy Apply now by clicking the "Easy Apply" button
and sending us your resume.
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.
Job Details
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.
Qualifications:
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 CloudFormation), CI/CD (e.g., GitHub, Bitbucket), and modern data integration tools (e.g., AWS DMS, Azure Data Factory, Matillion, Fivetran, Spark)
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Want to learn more about this role
and Jobot?
Click our Jobot logo and follow our LinkedIn page!\n
Salary : $165,000 - $190,000