• Lead a high-performing team of technical specialists • Partner closely with Sales, Systems Engineering, Product, and customers to drive business impact • Build and develop a strong team culture centered on coaching, collaboration, operational excellence, and customer-first execution • Translate complex customer challenges into innovative solutions • Strengthen field enablement and bring clarity and leadership to high-value technical opportunities • Refine sales strategy and tactics, taking command of technical responsibilities • Capture requirements and translate Customer’s business needs into innovative solutions

Role Description GovCIO is currently hiring for a Chief Solutions Architect to support a pending contract award. This position will be designated as a remote position. The Chief Solution Architect will provide overall technical leadership and architectural governance for this application maintenance and modernization program, serving as the principal technical authority across all project teams. Responsibilities include: - Establishing and maintaining enterprise architecture standards. - Guiding the modernization strategy from legacy on-premise systems to AWS cloud services. - Ensuring technical decisions align with immediate operational needs and long-term strategic objectives. - Collaborating closely with government technical leads. - Reviewing and approving major architectural decisions. - Overseeing technical risk management. - Ensuring compliance with federal security requirements and agency enterprise architecture standards. - Optimizing for performance, scalability, and cost-effectiveness. Qualifications - Bachelor's degree in Computer Science, Information Systems, or related technical field. - AWS Certified Solutions Architect Professional certification. - Minimum 8 years' experience in one or more architecture domains (e.g., business architecture, solutions architecture, application architecture). Requirements - Advanced knowledge and experience in one or more current programming languages (e.g., Java, JavaScript (including AngularJS), Python, Rust, Go, or PHP). - Experience defining the architecture of cloud deployed applications (AWS preferred). - Expertise in service-oriented architecture, web services, and Application Programming Interfaces. - Experience defining and driving SecDevOps best practices within large teams, including AI assisted code development. - Experience establishing legacy modernization and migration technical roadmaps for large scale applications. - Experience building applications using service-oriented, microservice, and/or API based architectures at an enterprise scale. - Experience with event-driven applications using queues, service bus and other related patterns. - Experience in working closely with technical leads, engineering teams and architecture stakeholders for technical issues and architecture framework capabilities for use by other development teams. - Ability to translate technically complex features into plain language for leadership. - Experience with AI RAG/LLM implementations and experience implementing and successfully leveraging agentic AI to accelerate software development. Benefits - Posted Salary Range: USD $125,000.00 - USD $199,260.00 /Yr.

• Present Snowflake technology and vision to executives and technical contributors • Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology • Immerse yourself in the ever-evolving industry • Collaborate with Product Management, Engineering, and Marketing to improve Snowflake’s products and marketing

Role Description Fetch is looking for a Senior Manager, Solutions Engineering, to lead a multidisciplinary team of Solutions Engineers, Analytics Engineers, and Data Engineers. This team delivers client-facing technical solutions that connect client needs, product strategy, data insights, engineering execution, and business outcomes. This leader will own measurable outcomes across solution delivery, analytics quality, data reliability, product progress, and client impact. The ideal candidate is strong in analytics and data engineering, energized by client-facing work, and able to translate ambiguous client, product, and technical needs into clear roadmaps, scalable solutions, and durable operating practices. The Senior Manager will lead technical talent across solution design, data modeling, analytics quality, systems thinking, and delivery execution. They will partner closely with Product, Engineering, Go-to-Market, Client Success, Analytics, and Data teams to align priorities, resolve dependencies, and ensure solutions are client-ready, analytically sound, scalable, reliable, and maintainable. What You’ll Do - Strategy, Roadmap, and Outcomes - Own measurable outcomes across technical delivery, analytics quality, data reliability, solution quality, product progress, and client impact. - Translate client needs, analytics opportunities, product strategy, and technical strategy into a measurable quarterly and annual roadmap. - Balance near-term delivery with reliability, scalability, developer experience, data quality, and technical debt reduction. - Ensure trade-offs between speed, quality, scope, and long-term maintainability are clearly understood and aligned across stakeholders. - Technical, Analytics, and Data Leadership - Own a business-critical client-facing solution domain, analytics/data product area, or technical system, including its scalability, reliability, data quality, and maintainability. - Guide teams toward sound technical and analytical decisions that balance speed, scalability, data integrity, and client impact. - Identify emerging technical, analytical, and data risks before they constrain delivery, client trust, reliability, or team productivity. - Raise the technical and analytical bar through stronger design reviews, data quality expectations, system ownership norms, and solution review practices. - Establish engineering, analytics, and data processes that create consistently high solution quality and trustworthy insights. - Execution and Operational Excellence - Convert ambiguous client, business, product, data, and technical needs into execution plans with clear owners, milestones, and measurable outcomes. - Lead cross-team initiatives that improve reliability, developer experience, delivery effectiveness, integration quality, or solution scalability. - Drive execution beyond the immediate team by aligning dependencies, clarifying ownership, and resolving misalignment across partner teams. - Use data and context, including incidents, velocity, quality metrics, roadmap progress, client impact, and technical health trends, to shape prioritization and decision-making. - Build sustainable team operating rhythms that reinforce accountability for outcomes, not activity. - People Leadership and Team Health - Lead, coach, and develop Solutions Engineers, Analytics Engineers, Data Engineers, and technical leads across delivery, technical judgment, systems thinking, design quality, and ownership. - Develop senior ICs into stronger technical owners and decision-makers. - Ensure consistent performance management, clear expectations, and timely feedback across the team. - Proactively identify team health patterns, including retention risks, disengagement, workload imbalance, unclear ownership, or structural causes of friction. - Maintain a sustainable operating environment by balancing delivery pressure with technical investment and team capacity. - Cross-Functional and Client-Facing Influence - Partner with Product, Engineering, Analytics, Data, Go-to-Market, Client Success, and peer leaders to align on shared goals, dependencies, and delivery trade-offs. - Advocate for solutions that improve client outcomes, system quality, data reliability, and long-term maintainability. - Communicate technical direction, analytical insights, data risks, and delivery trade-offs clearly to technical, non-technical, and client-facing audiences. - Model constructive conflict resolution and create psychological safety during high-pressure delivery moments. - Institutionalize technical standards, operating principles, and decision-making mechanisms that improve consistency across the organization. Qualifications - 6+ years of experience in solutions engineering, analytics engineering, data engineering, software engineering, platform engineering, technical implementation, or a related technical discipline. - 2+ years of technical team management experience, including direct people management of solutions engineers, analytics engineers, data engineers, software engineers, or technical solution owners. - Experience leading teams responsible for client-facing technical solutions, analytics deliverables, data products, integrations, platforms, or product engineering outcomes. - Proven ability to translate strategy into roadmaps, execution plans, measurable outcomes, and sustainable operating rhythms. - Strong technical judgment across analytics, data modeling, data pipelines, architecture, integration design, scalability, reliability, maintainability, observability, and operational risk. - Track record of balancing client or product delivery with data quality, technical debt, reliability, analytical rigor, and long-term system health. - Experience coaching senior engineers or technical leads in ownership, design quality, decision-making, and cross-functional influence. - Demonstrated ability to influence peer managers and cross-functional stakeholders without relying solely on authority. - Strong communication skills with the ability to explain technical, analytical, and data trade-offs to technical, non-technical, and client-facing audiences. Preferred Qualifications - Experience managing multiple related workstreams, teams, or technical domains. - Experience in client-facing, analytics, data, platform, integration, ad tech, martech, marketplace, consumer product, or high-scale distributed systems environments. - Experience improving engineering or analytics productivity through better planning, review practices, tooling, automation, quality gates, observability, or developer experience. - Experience establishing team or org-level technical standards, architectural principles, design review mechanisms, incident practices, or system ownership models. - Experience partnering closely with Product, Go-to-Market, Client Success, Sales Engineering, Analytics, Data, or Operations teams. - Experience leading through ambiguity, organizational change, or high-pressure delivery environments. - Practical fluency with AI-assisted engineering, analytics, or productivity tools, including thoughtful judgment around use cases, risks, validation, data accuracy, and team adoption. Compensation At Fetch, we offer competitive compensation packages including base, equity, and benefits to the exceptional folks we hire. Discover our benefits and how our employees live rewarded at https://fetch.com/careers .