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Posted March 27, 2026
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Commitments
Responsibilities
- Our client is able to offer visa sponsorship as needed Role Overview We are looking for an experienced Senior Technical Architect to act as the primary technical advisor for Customer Success and Support teams.
- This individual will play a critical role in guiding complex customer engagements, ensuring that technical solutions are scalable, reliable, and aligned with broader platform capabilities.
- This role is highly collaborative and requires someone who can translate sophisticated customer requirements into well-architected solutions while partnering closely with engineering, product, and delivery teams.
- The ideal candidate thrives in fast-paced environments and brings both strategic thinking and hands-on technical expertise.
- Apache NiFi Data Governance & Metadata Management Familiarity with governance frameworks and metadata platforms, including:
- DataHub Modern Data Platforms & Storage Understanding of cloud-based data storage patterns and table formats, including:
- Object storage solutions (e.g., S3 or similar) Cloud & Platform Engineering Strong background in cloud-native environments and containerized systems, including:
- Kubernetes (K8s) or OpenShift
- Linux-based systems
- Version control using Git Automation & Infrastructure Management Experience building and managing automated infrastructure using:
- Bash / Shell scripting
- Infrastructure as Code tools (Terraform preferred) Monitoring & Observability Proficiency with monitoring, logging, and observability platforms such as:
- Cloud-native monitoring tools (e.g., CloudWatch) Professional Skills
- Strong analytical and problem-solving capabilities in ambiguous environments
- Structured and composed approach to troubleshooting and incident response
- Proven ability to collaborate across cross-functional teams
- Demonstrated experience working with distributed systems, data pipelines, and cloud-native applications
- Exposure to major cloud providers (AWS, Azure, or GCP)
Commitments
Technical Architect Location : Atlanta, GA (Ideally 3-4 days onsite a week, but flexibility here as needed) Salary Range : 180-200k base target Benefits : 15% annual bonus, unlimited PTO, 4% 401k, medical, dental, and vision benefits.
Familiarity with hybrid or on-premises infrastructure is a plus
Not Met Priorities
What still needs stronger evidence
Requirements
- Technical Qualifications Data Processing & Workflow Orchestration Hands-on experience with distributed data systems and orchestration tools, such as:
- Apache Spark
- Trino
- Apache Airflow
- Apache NiFi Data Governance & Metadata Management Familiarity with governance frameworks and metadata platforms, including:
- Apache Ranger
- DataHub Modern Data Platforms & Storage Understanding of cloud-based data storage patterns and table formats, including:
- Apache Iceberg
- Object storage solutions (e.g., S3 or similar) Cloud & Platform Engineering Strong background in cloud-native environments and containerized systems, including:
- Kubernetes (K8s) or OpenShift
- Linux-based systems
- Version control using Git Automation & Infrastructure Management Experience building and managing automated infrastructure using:
- Python
- Bash / Shell scripting
- Infrastructure as Code tools (Terraform preferred) Monitoring & Observability Proficiency with monitoring, logging, and observability platforms such as:
- Grafana
- Prometheus
- Datadog
- ELK Stack / OpenSearch
- Cloud-native monitoring tools (e.g., CloudWatch) Professional Skills
- Ability to clearly communicate complex technical concepts to diverse audiences
- Strong analytical and problem-solving capabilities in ambiguous environments
- Structured and composed approach to troubleshooting and incident response
- Proven ability to collaborate across cross-functional teams
- High level of accountability with a focus on driving outcomes Preferred Background
- 6+ years of experience in technical architecture, platform engineering, or solution design within cloud or SaaS environments
- 2–5+ years of experience supporting live production systems in roles such as SRE, DevOps, or Technical Support Engineering
- Demonstrated experience working with distributed systems, data pipelines, and cloud-native applications
- Exposure to major cloud providers (AWS, Azure, or GCP)
- Background in customer-facing technical roles
- Experience with incident management, troubleshooting methodologies, and root cause analysis
- Familiarity with hybrid or on-premises infrastructure is a plus
Preferred Skills
- Technical Qualifications Data Processing & Workflow Orchestration Hands-on experience with distributed data systems and orchestration tools, such as:
- Apache Spark
- Trino
- Apache Airflow
- Apache NiFi Data Governance & Metadata Management Familiarity with governance frameworks and metadata platforms, including:
- Apache Ranger
- DataHub Modern Data Platforms & Storage Understanding of cloud-based data storage patterns and table formats, including:
- Apache Iceberg
- Object storage solutions (e.g., S3 or similar) Cloud & Platform Engineering Strong background in cloud-native environments and containerized systems, including:
- Kubernetes (K8s) or OpenShift
- Linux-based systems
- Version control using Git Automation & Infrastructure Management Experience building and managing automated infrastructure using:
- Python
- Bash / Shell scripting
- Infrastructure as Code tools (Terraform preferred) Monitoring & Observability Proficiency with monitoring, logging, and observability platforms such as:
- Grafana
- Prometheus
- Datadog
- ELK Stack / OpenSearch
- Cloud-native monitoring tools (e.g., CloudWatch) Professional Skills
- Strong analytical and problem-solving capabilities in ambiguous environments
- Structured and composed approach to troubleshooting and incident response
- Proven ability to collaborate across cross-functional teams
- High level of accountability with a focus on driving outcomes Preferred Background
- 6+ years of experience in technical architecture, platform engineering, or solution design within cloud or SaaS environments
- 2–5+ years of experience supporting live production systems in roles such as SRE, DevOps, or Technical Support Engineering
- Demonstrated experience working with distributed systems, data pipelines, and cloud-native applications
- Exposure to major cloud providers (AWS, Azure, or GCP)
- Background in customer-facing technical roles
- Experience with incident management, troubleshooting methodologies, and root cause analysis
- Familiarity with hybrid or on-premises infrastructure is a plus
***This role is NOT open to C2C*** Job Title : Sr. Technical Architect Location : Atlanta, GA (Ideally 3-4 days onsite a week, but flexibility here as needed) Salary Range : 180-200k base target Benefits : 15% annual bonus, unlimited PTO, 4% 401k, medical, dental, and vision benefits. Our client is able to offer visa sponsorship as needed Role Overview We are looking for an experienced Senior Technical Architect to act as the primary technical advisor for Customer Success and Support teams. This individual will play a critical role in guiding complex customer engagements, ensuring that technical solutions are scalable, reliable, and aligned with broader platform capabilities. This role is highly collaborative and requires someone who can translate sophisticated customer requirements into well-architected solutions while partnering closely with engineering, product, and delivery teams. The ideal candidate thrives in fast-paced environments and brings both strategic thinking and hands-on technical expertise. Technical Qualifications Data Processing & Workflow Orchestration Hands-on experience with distributed data systems and orchestration tools, such as:
Apache Spark
Trino
Apache Airflow
Apache NiFi Data Governance & Metadata Management Familiarity with governance frameworks and metadata platforms, including:
Apache Ranger
DataHub Modern Data Platforms & Storage Understanding of cloud-based data storage patterns and table formats, including:
Apache Iceberg
Object storage solutions (e.g., S3 or similar) Cloud & Platform Engineering Strong background in cloud-native environments and containerized systems, including:
Kubernetes (K8s) or OpenShift
Linux-based systems
Version control using Git Automation & Infrastructure Management Experience building and managing automated infrastructure using:
Python
Bash / Shell scripting
Infrastructure as Code tools (Terraform preferred) Monitoring & Observability Proficiency with monitoring, logging, and observability platforms such as:
Grafana
Prometheus
Datadog
ELK Stack / OpenSearch
Cloud-native monitoring tools (e.g., CloudWatch) Professional Skills
Ability to clearly communicate complex technical concepts to diverse audiences
Strong analytical and problem-solving capabilities in ambiguous environments
Structured and composed approach to troubleshooting and incident response
Proven ability to collaborate across cross-functional teams
High level of accountability with a focus on driving outcomes Preferred Background
6+ years of experience in technical architecture, platform engineering, or solution design within cloud or SaaS environments
2–5+ years of experience supporting live production systems in roles such as SRE, DevOps, or Technical Support Engineering
Demonstrated experience working with distributed systems, data pipelines, and cloud-native applications
Exposure to major cloud providers (AWS, Azure, or GCP)
Background in customer-facing technical roles
Experience with incident management, troubleshooting methodologies, and root cause analysis
Familiarity with hybrid or on-premises infrastructure is a plus
Apache Spark
Trino
Apache Airflow
Apache NiFi Data Governance & Metadata Management Familiarity with governance frameworks and metadata platforms, including:
Apache Ranger
DataHub Modern Data Platforms & Storage Understanding of cloud-based data storage patterns and table formats, including:
Apache Iceberg
Object storage solutions (e.g., S3 or similar) Cloud & Platform Engineering Strong background in cloud-native environments and containerized systems, including:
Kubernetes (K8s) or OpenShift
Linux-based systems
Version control using Git Automation & Infrastructure Management Experience building and managing automated infrastructure using:
Python
Bash / Shell scripting
Infrastructure as Code tools (Terraform preferred) Monitoring & Observability Proficiency with monitoring, logging, and observability platforms such as:
Grafana
Prometheus
Datadog
ELK Stack / OpenSearch
Cloud-native monitoring tools (e.g., CloudWatch) Professional Skills
Ability to clearly communicate complex technical concepts to diverse audiences
Strong analytical and problem-solving capabilities in ambiguous environments
Structured and composed approach to troubleshooting and incident response
Proven ability to collaborate across cross-functional teams
High level of accountability with a focus on driving outcomes Preferred Background
6+ years of experience in technical architecture, platform engineering, or solution design within cloud or SaaS environments
2–5+ years of experience supporting live production systems in roles such as SRE, DevOps, or Technical Support Engineering
Demonstrated experience working with distributed systems, data pipelines, and cloud-native applications
Exposure to major cloud providers (AWS, Azure, or GCP)
Background in customer-facing technical roles
Experience with incident management, troubleshooting methodologies, and root cause analysis
Familiarity with hybrid or on-premises infrastructure is a plus