griddable.io
Website:
griddable.io
Job details:
Description
Technical Architect successfully designs and manages the delivery of complex Salesforce solutions for our customers. These technologies include—but are not necessarily limited to Salesforce products and APIs, Apex/Visualforce, Lightning, mobile development technologies, and integration/ETL technologies.
You are both a big picture thinker and in-depth problem solver, your knowledge and skills are both broad and deep. You take pride in designing systems that stand up to high volumes and won't fail at critical points. You have a good mix of technical and enterprise skills when it comes to architecting a solution, including knowing how to leverage AI development tools like Claude and GitHub Copilot to optimize code quality and accelerate design cycles. The solutions you design are built for the long-term and will scale with the customer's growth plans seamlessly. You have proven experience integrating systems via API's as well as a strong development background.
What You'll Actually Be Doing
- Collaborate with client stakeholders to define requirements, deliverables, and set and manage expectations
- Translate business requirements into well-architected solutions that best leverage the Salesforce platform, including identifying opportunities to embed autonomous AI capabilities using Agentforce
- Drive Enterprise AI Architecture by designing and integrating scalable predictive and generative AI solutions within custom Salesforce environments, optimizing performance, resource consumption, and platform governor limits
- Lead technical design sessions; architect and document technical solutions aligned with client business objectives; identify gaps between client's current and desired end states, using advanced LLMs like Claude to review architectural assumptions and simulate system edge cases
- Provide oversight and governance of Salesforce projects, championing an AI-First Delivery & Engineering methodology by utilizing advanced AI tools, developer assistants (e.g., Cursor, Claude), and agentic evaluation frameworks to accelerate implementation
- Follow and help define coding standards. Lead code reviews during projects to ensure quality and appropriate design patterns are followed, utilizing AI coding assistants to help enforce standards and optimize code performance
- Manage the technical delivery of custom development, integrations, and data migration elements of a Salesforce implementation, championing the team's use of tools like GitHub Copilot to accelerate the generation of Apex classes, mock data, and REST integrations
- Focus on Performance Evaluation & ROI by collaborating with customers to develop evaluation frameworks to measure AI performance and business value for their specific use cases
- Maintain a target billable utilization aligned to the role
- Ability to understand a project and deep dive to debug issues, leveraging AI diagnostics to interpret system logs and isolate performance bottlenecks quickly
- From time-to-time, the TA may be expected to partake in other pre-sales activities such as discovery and technical deep-dive sessions, Proof-Of-Concept (POC) development with prospects using AI tools to build prototypes rapidly
- Liaise with Salesforce product teams to support client implementations
- Travels to client sites for projects, estimated 50-75%
You're Our Person If...
- Degree or equivalent proven experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.)
- 9-14 years CRM experience with a minimum of 6 years on the Salesforce platform
- Expert level understanding of the Salesforce product suite, including Sales, Service, Community, Marketing, and Community Clouds, as well as an understanding of Agentforce architecture
- Understanding of systems architecture and ability to design scalable performance-driven solutions, including using AI platforms to evaluate architectural scaling and load limits
- Understanding of key design patterns and large data volume limitations and best practices, with experience using AI tools to model data distribution and analyze potential data skew risks
- Understanding of data sharing and visibility considerations and how these play into platform architecture
- Familiarity with platform authentication patterns (SAML, SSO, OAuth) and how to configure them securely
- Knowledge of data integration tools and experience integrating Salesforce with different business systems (ETL, CPQ, marketing automation, reporting, etc.), utilizing AI platforms to parse third-party REST API documentation and map complex data schemas
- Strong understanding of environment management, release management, code versioning best practices, and deployment methodologies
- Experience with platform security capabilities (TLS, SSL)
- Practical fluency using AI coding assistants and modern development ecosystems (e.g., Copilot, Cursor, Claude) to accelerate delivery, document technical architecture, and maintain a high standard of code quality
- Expert level experience defining the system architecture landscape, identifying gaps between current and desired end-states, and delivering a comprehensive solution that will enable achievement of the desired business outcomes
- Strong background in design/development of large web-based systems, or complete software product lifecycle exposure
- Active Salesforce certifications or ability to achieve relevant certifications upon hire.
Click on Apply to know more.