• Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform • Build and maintain reports on infrastructure cost (e.g. free vs paid tier usage, POC environments, product-level cost) • Work closely with the Cloud Engineering team to understand how architecture and resource usage affect cost • Develop models to estimate cost per customer, feature, or workload • Forecast infrastructure spend based on usage trends and upcoming changes in our architecture • Identify opportunities for cost optimization (e.g. savings plans, resource sizing, usage patterns) • Build internal dashboards and simple tools to make cloud cost data accessible to engineering, finance, and sales • Support internal teams with data for pricing, deal modeling, and infrastructure planning

The client is an AWS Advanced Partner driving digital transformation for enterprises across North America. They specialize in cloud migration, modernization, and emerging solutions including GenAI implementations. Through their VMware Freedom initiative, they help companies navigate infrastructure transformations while adopting AWS innovations to drive business value and reduce licensing costs. Position Overview We are seeking a Senior Solutions Architect to lead enterprise cloud transformation projects. With many organizations reassessing their VMware investments following recent market changes, this role combines infrastructure migration expertise with the opportunity to implement modern cloud solutions and explore emerging technologies like GenAI. You'll work directly with enterprise clients to design and implement practical solutions that meet both immediate migration needs and long-term innovation goals Responsibilities: Solution Architecture & Design • Design cloud solutions using core AWS services for compute, storage, networking, and security • Develop cloud migration strategies with a focus on VMware to AWS transformations • Create architectural documentation and technical roadmaps • Evaluate and recommend appropriate AWS services based on customer requirements • Support GenAI and ML initiatives as the practice develops Migration & Implementation • Lead VMware to AWS migration projects from assessment through execution • Perform discovery of VMware environments and design target AWS architectures • Develop wave plans and migration strategies for application portfolios • Execute migrations using AWS Application Migration Service and related tools • Support database migrations and application modernization efforts Customer Engagement • Participate in customer workshops and technical discovery sessions • Present solutions and recommendations to technical and business stakeholders • Serve as technical point of contact throughout project lifecycle • Document requirements and translate business needs into technical designs • Build trusted relationships with customer technical teams Team Collaboration • Collaborate with project managers and delivery teams • Share knowledge and best practices with team members • Contribute to internal documentation and runbooks • Support pre-sales activities as needed • Participate in continuous learning and certification programs

Role Description The Salesforce Data Cloud Architect will be responsible for designing and implementing solutions using Salesforce Data Cloud, managing data ingestion, and optimizing data models. - Salesforce Data Cloud (Old & New Ecosystem) - Design and implement solutions using Salesforce Data Cloud (formerly CDP / Genie) - Work extensively with Data Streams, Data Lake Objects (DLOs), Unified Profiles, Calculated Insights, and Identity Resolution - Manage ingestion of structured and semi-structured data from Salesforce and external platforms - Optimize data models and performance across both legacy CDP concepts and modern Data Cloud capabilities - Einstein AI & Predictive Capabilities - Implement Einstein Prediction Builder / Einstein AI using Data Cloud unified data - Build and deploy predictive models such as propensity scoring, churn prediction, and segmentation intelligence - Enable AI-driven insights and personalization use cases leveraging Data Cloud - SQL & Data Engineering - Strong hands-on experience with SQL for: - Calculated Insights - Data transformation and validation - Performance optimization - Solid understanding of analytical and relational data modelling - Integrations - Design and implement integrations between Salesforce Data Cloud and: - External data platforms (Snowflake, BigQuery, AWS, Azure, etc.) - Third-party systems using APIs and connectors - Experience with middleware tools (MuleSoft preferred) - Ensure secure, scalable, and reliable data flows Qualifications - Bachelor’s degree in computer science, IT, Engineering, or equivalent experience - 6+ years of experience in the Salesforce ecosystem - 3+ years hands-on experience with Salesforce Data Cloud (formerly CDP / Genie / Customer 360 / Data 360) - Strong expertise in Data Cloud architecture, Agentforce, Marketing Cloud, SQL, and Einstein Prediction AI - Experience with external data integrations and Salesforce Marketing Cloud activation Requirements - Salesforce certifications in Data Cloud, AI /Data 360, Agentforce, Advanced Admin - Marketing Cloud is a nice addition - Good working knowledge of Salesforce and Marketing Cloud, Tableau Next, Salesforce Service Cloud, Agentforce - Experience with cloud data platforms (Snowflake, BigQuery, AWS, Azure) - Knowledge of MuleSoft or similar integration tools - Understanding of data privacy, consent management, and governance - Experience with real-time personalization and cross-cloud activation Soft Skills - Strong communication and stakeholder management abilities - Strategic thinker with problem-solving and analytical mindset - Ability to mentor junior engineers and contribute to team development - Proven experience in leading cross-functional teams Benefits - Commitment to professional growth from day one - Culture of continuous learning, mentorship, and hands-on projects - Performance bonuses and public recognition - Collaboration with diverse teams on international projects - Transparency, trust, and work-life balance

Facet was founded in 2016 on the belief that objective, personalized financial advice is essential to living well. Our mission is to empower people to live more enriched lives by delivering a new standard of advice. By removing asset minimums, we provide holistic planning that goes far beyond investments to address every way money impacts life. To achieve this, we leverage a "human-plus-tech" approach, combining the expertise of CFP® professionals with cutting-edge AI and automation. This model allows Facet to integrate advice into our members’ entire financial picture—all for an affordable, flat membership fee. Our commitment to innovation and member success has earned national recognition, including being ranked the #1 Best Financial Advisory Firm 2025 by USA TODAY and named to Newsweek’s list of America’s Top Financial Advisory Firms 2025. With an A+ BBB Rating and a Trustpilot “Excellent” score (as of Sept. 16, 2025)*, we are proud to be redefining the industry for our members and our team alike. Why Join the Facet Security & Platform Engineering Team?   - Reinvent the Experience: Have the agency to build new ways of working by treating the platform as a product, directly improving experience throughout the company via self-service and high-leverage automation. - Work with Cutting-Edge Technologies: Work at the technical forefront, leveraging best-in-class serverless and AI infrastructure (FaaS, LLMs, Vector Databases) to redefine financial services. - Directly Drive Company Growth: Your foundational work in speed, security, and scalability is the engine that enables Facet's rapid growth and delivers superior financial outcomes for thousands of members. What You’ll Do: - AI Infrastructure Orchestration: Design and maintain the infrastructure required to power AI features, including vector database management, model deployment pipelines, and secure integration with LLM providers. - Platform Architecture: Build and evolve our Internal Platforms, focusing on self-service, automation, and reducing cognitive load for internal teams. - Serverless & Event-Driven Systems: Optimize and secure our 100% cloud-native environment, developing and deploying scalable serverless and event-driven architectures (AWS Lambda, Google Cloud Functions, EventBridge, Pub/Sub). - DevSecOps: Implement automated security guardrails within the CI/CD pipeline. You will lead the "Identity/IAM Architecture" to ensure least-privilege access and build automated compliance checks into our Infrastructure-as-Code (Terraform). - AI Guardrails: Develop and enforce technical guardrails for our internal AI platform to manage data privacy, cost controls, and ethical usage monitoring. - Reliability & Automation: Drive a "manual-is-a-bug" culture by automating environment provisioning, incident response, and performance monitoring.