Role Description As a GCP Infrastructure Specialist Solutions Architect (SSA), you will guide customers in the administration and security of their Databricks deployments for a variety of our customers. You will be in a customer-facing role, working with and supporting Solution Architects, which requires hands-on production experience with Google Cloud Platform (GCP). SSAs help customers with the design and successful implementation of essential workloads while aligning their technical roadmap to expand the use of the Databricks Platform. As a deep go-to-expert reporting to the Specialist Field Engineering Manager, you will continue to strengthen your technical skills through mentorship, learning, and internal training programs, and establish yourself in an area of specialty - whether that be cloud deployments, security, networking, or more. The impact you will have: - Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment. - Architect production-level deployments, including meeting necessary security and networking requirements. - Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management. - Assist Solution Architects with more advanced aspects of the technical sale, including custom proof of concept content and custom architectures. - Provide tutorials and training to improve community adoption (including hackathons and conference presentations). - Contribute to the Databricks Community. Qualifications - 5+ years of experience in a technical role with expertise in at least one of the following: - GCP Platform Architecture - Security: Platform security, Network security, Data Security, Gen AI & Model Security, Encryption, Vulnerability Management, Compliance. - Networking: Architecture design, implementation, and performance. - Identity management: Provisioning, SCIM, OAuth, SAML, Federation. - Platform Administration: High availability and disaster recovery, cluster management, observability, logging, monitoring, audit, and cost management. - Infrastructure Automation and InfraOps with IaC tools like Terraform. - Maintain and extend the Databricks environment to adapt to evolving complex needs. - Deep Specialty Expertise in at least one of the following areas: - Security - understanding how to secure data platforms and manage identities. - Complex deployments. - GCP experience - experience designing data platforms on cloud infrastructure and services, and using best practices in cloud security and networking. - Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience. - Hands-on experience with Python, Java, or Scala, and proficiency in SQL, and Terraform experience are desirable. - 2 years of professional experience with big data technologies (e.g., Spark, Hadoop, Kafka) and architectures. - 2 years of customer-facing experience in a pre-sales or post-sales role. - Can meet expectations for technical training and role-specific outcomes within 6 months of hire. - This role can be remote, with travel up to 30% when needed. Requirements - Pay Range Transparency: - Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. - Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. - Based on the factors above, Databricks anticipates utilizing the full width of the range. - The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. - For more information regarding which range your location is in visit our page here. - Local Pay Range: $180,000 — $247,500 USD. Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. - For specific details on the benefits offered in your region click here.

Role Description Shape the total solution (technical and management) direction, feasibility, and competitive positioning of V2X opportunities to enable business growth and successful transition to execution. Translate customer needs into viable, compelling, and executable solution approaches that are forward-facing and that win work while strengthening long-term customer relationships. Provide a connective tissue for BD, CI, Capture, engineering, pricing, and proposal teams to deliver technically credible, operationally feasible, and customer-aligned solutions that ensure mission success across enterprise, tactical, radar, and range portfolios. Key Responsibilities: - Solution Design & Architecture - Architect technical solutions suited for both enterprise systems and tactical deployments, leveraging advanced technologies such as AI/ML, predictive analytics, C5ISR systems, and edge computing architectures. - Collaborate across all technical domains to develop scalable, secure, and high-performing solutions aligned with defense and commercial missions. - Strategic Capture Participation - Embed into all BD phases, Gate Reviews, technical solution development, operations assessments, and proposal reviews to ensure consistency and compliance. - Support capture and proposal efforts by developing compliant technical approaches, creating architecture diagrams, and ensuring solution alignment with evaluation criteria. - Technical Innovation Across Domains - Expertise in mission-critical technologies (C5ISR systems, AI/ML, tactical platforms, cloud computing, advanced data fusion), with working knowledge of radar and range-related data processing and integration. - Compliance & Security Responsibility - Ensure all solutions meet DoD cybersecurity standards, export control regulations (ITAR, TINA), and location-specific Offset/Industrial Cooperation standards. - Support global execution strategies including Offset requirements and localization models. Qualifications - Bachelor’s degree in Systems Engineering, Computer Science, Electrical Engineering, or related technical field (Master’s preferred). - 10+ years of experience designing secure, responsive solutions for enterprise and tactical systems within defense, aerospace, or federal sectors. - Ability to obtain DoW Secret Clearance. - Experience architecting solutions in alignment with DoD frameworks (RMF, NIST, MIL-STDs, or CMMC) and acquisition lifecycles. - Demonstrated business development and capture lifecycle insights, including technical solutioning for RFIs/RFPs at various acquisition phases. Requirements - Expertise in mission-critical technologies (C5ISR systems, AI/ML, tactical platforms, cloud computing, advanced data fusion), with working knowledge of radar and range-related data processing and integration. - Preferred Certifications: TOGAF, DoDAF, Google/AWS/Azure Solutions Architect, CISSP, PMP. - Prior experience with U.S. test and training ranges (e.g., Major Range and Test Facility Base (MRTFB), Service-specific test ranges, or similar). - Familiarity with radar theory, RF systems, signal processing, tracking algorithms, or test range instrumentation and control systems. - Certifications in cloud-native solutions. Benefits - Healthcare coverage. - Life insurance, AD&D, and disability benefits. - Retirement plan. - Wellness programs. - Paid time off, including holidays. - Learning and Development resources. - Employee assistance resources.

• Serve as the primary commercial contact for customers seeking gas detection solutions, compliance improvements, and system upgrades. • Conduct consultative discovery conversations to evaluate customers' gas detection systems, operating environments, maintenance practices, and compliance requirements. • Design customized gas detection solutions using CTI's portfolio. • Develop and present proposals that clearly connect recommended solutions to customer safety, compliance, and operational objectives. • Collaborate with service and internal teams to develop pricing, quotations, and implementation plans.

Role Description As an AWS Solutions Architect- AI/ML at Cloudelligent, you will be responsible for designing and implementing scalable, innovative cloud solutions for our clients. You will focus on cloud modernization, data engineering, and AI/ML integration to drive business transformation. You will collaborate with clients, service delivery managers, and cross-functional teams to understand business goals, assess existing infrastructure, and develop cloud architectures using AWS technologies. Responsibilities - Architect cloud-native solutions and lead app modernization initiatives to migrate legacy applications to AWS, improving scalability, performance, and cost efficiency. - Design and implement cloud solutions that integrate data engineering, Generative AI, and machine learning (ML) technologies to enhance business operations, customer experiences, and automation. - Lead technical presales discussions, collaborating with sales teams to understand client needs and design cloud solutions that leverage AI, data, and modernization strategies. - Act as a trusted advisor, guiding clients through the design and implementation of custom cloud architecture that meet their business goals, with a focus on scalability, security, and cost optimization. - Lead deep-dive architecture sessions with clients, proposing Well-Architected solutions that include data pipelines, cloud-native frameworks, and modern technologies for app modernization, AI/ML, and data-driven applications. - Define and implement cloud governance frameworks to ensure compliance with AWS security policies, industry standards, and best practices for data security, AI privacy, and regulatory compliance. - Collaborate with internal teams to ensure smooth knowledge transfer from pre-sales to delivery teams, ensuring project goals, timelines, and expectations are clearly set. - Implement advanced Generative AI use cases using AWS tools to automate business processes, enhance customer service, and drive innovation in content creation and decision-making. - Lead cloud migration initiatives, focusing on data modernization, app modernization, and multi-region deployments to ensure seamless transitions to cloud environments. - Stay up to date with the latest developments in cloud technologies, Generative AI, data engineering, and machine learning to bring new insights and innovations to both internal teams and client solutions. Qualifications - 8+ years of experience designing, building, and operating solutions on AWS, with strong expertise in cloud modernization, data engineering, and AI/ML architecture. - Strong understanding of cloud-native patterns and AWS Well-Architected best practices, particularly for modernization, data solutions, and AI/ML workloads. - Experience with cloud services: Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and OpenAI. - Proven expertise in designing data pipelines, integrating data lakes, data warehouses, and other data solutions that support AI/ML and modern business needs. - Proven experience migrating legacy applications to AWS, leveraging containers (Docker, ECS, EKS), serverless technologies, and cloud-native architectures. - Proficiency with Terraform or CloudFormation for automating cloud deployments and infrastructure management. - Understanding of AWS security controls related to data security, AI privacy, and regulatory compliance. - Strong experience in pre-sales and customer-facing roles, helping clients translate business requirements into technical solutions and building strong, long-term relationships. Highly Preferred - AWS Certified Machine Learning – Specialty - AWS Certified Solutions Architect – Associate or Professional