LAUNCH CONSULTING GROUP
Be a part of our success story. Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch!
Ensure all your application information is up to date and in order before applying for this opportunity.
The Role: Launch is actively seeking a passionate and highly skilled Technology Leader with deep experience in data architecture, cloud engineering, and AI/ML enablement. This individual should have a strong background in spearheading technology initiatives in a consulting capacity. In this pivotal role, you will help shape technology roadmaps, lead strategic engagements, and architect cloud-native solutions focused on data platforms, analytics, and AI. You’ll also play a hands-on role in technical pre-sales, solution development, and delivery risk management while mentoring delivery teams and guiding client engagements. This is a highly visible leadership role requiring a unique mix of technical depth, business acumen, and client relationship-building.
Responsibilities: Lead client conversations focused on data-driven solutions, AI enablement, and cloud platform design Guide discovery, architecture, and development of world-class data and AI solutions across a broad range of technologies and design patterns Collaborate with business and technical stakeholders to translate business needs into scalable, secure technical solutions Develop data strategy roadmaps, proposals, and statements of work aligned to client business goals Design architectures leveraging cloud-native data platforms, data pipelines, MLOps practices, and AI services Partner with other technology leaders to shape complex, cross-functional transformation programs Provide program-level architecture oversight and technical quality assurance across client delivery teams Support internal knowledge sharing and contribute to the development of reusable frameworks and IP Mentor engineers and architects, fostering a culture of technical excellence, innovation, and delivery quality Communicate complex concepts to both technical and non-technical audiences, including executive leadership Author or review technical documentation, architecture artifacts, and reusable design assets Stay current with industry trends in data, AI, and cloud computing, and contribute to Launch thought leadership
Required Qualifications: 12+ years of relevant work experience in technology consulting, architecture, or engineering roles Proven experience designing and leading data platform, analytics, or AI/ML solutions in the cloud Strong delivery experience in at Azure public cloud platform Experience in regulated industries; financial services strongly preferred Strong understanding of cloud data architecture, including data lakes, lakehouses, streaming, and batch pipelines Proficiency in data security, compliance frameworks, and governance best practices Demonstrated success developing technical roadmaps and solution architectures aligned to business objectives Ability to scope and estimate projects, define resourcing plans, and guide execution from strategy to delivery Excellent communication skills; able to engage C-level stakeholders and technical teams alike Comfortable leading conversations across disciplines—engineering, product, data science, and business
Preferred Qualifications: Prior consulting experience with financial services clients (banking, insurance, capital markets) Familiarity with data privacy laws and regulatory frameworks like SOX, GLBA, PCI, or GDPR Experience designing event-driven architectures (e.g., Kafka, Event Hubs) and real-time data pipelines Familiarity with AI/ML model lifecycle management, feature stores, and MLOps platforms Hands-on experience with infrastructure-as-code (IaC) and CI/CD in data and AI environments Familiarity with GenAI tools, foundation models, and integration of LLMs into business use cases Strong communication experience, including technical evangelism, thought leadership, or speaking at meetups/conferences Kubernetes and container orchestration experience Background in secure solution design, observability, and platform monitoring
Education & Certifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field Cloud certifications (Azure) preferred, especially those related to data architecture or AI engineering
Compensation & Benefits: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $200,000-$230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
Location Requirements: Seattle, WA (Only candidates currently residing in the Seattle area will be considered)
Ensure all your application information is up to date and in order before applying for this opportunity.
The Role: Launch is actively seeking a passionate and highly skilled Technology Leader with deep experience in data architecture, cloud engineering, and AI/ML enablement. This individual should have a strong background in spearheading technology initiatives in a consulting capacity. In this pivotal role, you will help shape technology roadmaps, lead strategic engagements, and architect cloud-native solutions focused on data platforms, analytics, and AI. You’ll also play a hands-on role in technical pre-sales, solution development, and delivery risk management while mentoring delivery teams and guiding client engagements. This is a highly visible leadership role requiring a unique mix of technical depth, business acumen, and client relationship-building.
Responsibilities: Lead client conversations focused on data-driven solutions, AI enablement, and cloud platform design Guide discovery, architecture, and development of world-class data and AI solutions across a broad range of technologies and design patterns Collaborate with business and technical stakeholders to translate business needs into scalable, secure technical solutions Develop data strategy roadmaps, proposals, and statements of work aligned to client business goals Design architectures leveraging cloud-native data platforms, data pipelines, MLOps practices, and AI services Partner with other technology leaders to shape complex, cross-functional transformation programs Provide program-level architecture oversight and technical quality assurance across client delivery teams Support internal knowledge sharing and contribute to the development of reusable frameworks and IP Mentor engineers and architects, fostering a culture of technical excellence, innovation, and delivery quality Communicate complex concepts to both technical and non-technical audiences, including executive leadership Author or review technical documentation, architecture artifacts, and reusable design assets Stay current with industry trends in data, AI, and cloud computing, and contribute to Launch thought leadership
Required Qualifications: 12+ years of relevant work experience in technology consulting, architecture, or engineering roles Proven experience designing and leading data platform, analytics, or AI/ML solutions in the cloud Strong delivery experience in at Azure public cloud platform Experience in regulated industries; financial services strongly preferred Strong understanding of cloud data architecture, including data lakes, lakehouses, streaming, and batch pipelines Proficiency in data security, compliance frameworks, and governance best practices Demonstrated success developing technical roadmaps and solution architectures aligned to business objectives Ability to scope and estimate projects, define resourcing plans, and guide execution from strategy to delivery Excellent communication skills; able to engage C-level stakeholders and technical teams alike Comfortable leading conversations across disciplines—engineering, product, data science, and business
Preferred Qualifications: Prior consulting experience with financial services clients (banking, insurance, capital markets) Familiarity with data privacy laws and regulatory frameworks like SOX, GLBA, PCI, or GDPR Experience designing event-driven architectures (e.g., Kafka, Event Hubs) and real-time data pipelines Familiarity with AI/ML model lifecycle management, feature stores, and MLOps platforms Hands-on experience with infrastructure-as-code (IaC) and CI/CD in data and AI environments Familiarity with GenAI tools, foundation models, and integration of LLMs into business use cases Strong communication experience, including technical evangelism, thought leadership, or speaking at meetups/conferences Kubernetes and container orchestration experience Background in secure solution design, observability, and platform monitoring
Education & Certifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field Cloud certifications (Azure) preferred, especially those related to data architecture or AI engineering
Compensation & Benefits: As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits—medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated wage range for this role is $200,000-$230,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.
Location Requirements: Seattle, WA (Only candidates currently residing in the Seattle area will be considered)