Remote Position – Any Location with Great Wifi Works About the Gig: What does a Salesforce Data Architect Do? As a Data Architect, you’ll represent Sercante as a technical leader, serving as a trusted advisor to our delivery teams and clients while mentoring team members working alongside you. You primarily focus on post-sale engagements, but sometimes get tapped on the shoulder to help scope new projects and make technical recommendations as well. You will define and design technical data architecture solutions that span multiple platforms and include integration and authentication across systems; manage the development lifecycle to ensure the delivery of highly secure solutions that are optimized for performance and built to scale; articulate design considerations, trade-offs, benefits, and recommendations for a technical architecture. This requires close collaboration with your Solution Architects and Developers to align on design. You possess a deep understanding of the Salesforce platform as well as excellent executive acumen to get your ideas and solutions across to stakeholders and gain integrity to get your strategic visions built into successful solutions. A Day-in-the-Life: Lead data management and migration projects Develop, maintain, and review data processes and architecture for both on-premise and cloud-based data systems Conduct team reviews and recommend data modeling, administrative, and design improvements Demonstrate ability to learn and research advanced data technologies and concepts, learning new skills and software as necessary Evaluate data consumption and efficient resource utilization, including credits or costs where applicable Demonstrate high-level knowledge of enterprise IT organizational, business, and technical environments Produce highly detailed document artifacts and maintain them for the duration of projects Guide clients through comprehensive data mapping processes, ensuring meticulous attention to detail at every stage Support the testing and iteration process for all designed solutions Assess all risks and offer mitigation strategies, communicating impacts to project across multiple channels Interpret client functional and informational needs and turn them into data requirements, process models, and active systems Support assigned systems throughout transition periods A Successful Salesforce Data Architect will: Have minimally 10 years of experience in a technically-minded customer facing career track, with at least 5 years of experience in a leading Data Architect role Excellent communication skills: written, verbal, and interactive when online Possess a client-focused attitude through conversations and documentation Demonstrate deep data integration and/or migration experience with Salesforce.com and other cloud-enabled tools (ex. Snowflake, Databricks) Demonstrate expertise in complex SQL statements and RDBMS systems such as Oracle, Microsoft SQL Server, PostGres Experience with master data management, data governance, data security, data quality and related tools desired. Demonstrate experience with complex coding through ETL tools such as Informatica, SSIS, Pentaho, and Talend Demonstrate strong verbal and written communication skills across multiple levels of the organization Coordinate management activities with others on the team Experience with full-fledged data warehouse or data mart models Experience with both dimensional and 3rd normal form data modeling, data integration, and reporting Hands-on ability to set up reporting tools and build reports and ad hoc functionality Experience with reporting / BI tools such as Business Objects, Cognos, or SSRS Strong written and spoken communication skills Related certifications in Salesforce, Data Cloud, Snowflake and Databricks Minimum Salesforce certified: Data Architect or System Architect Nice to have certifications: Data Cloud Certification Marketing Cloud, Consulting or Developer certifications AI Certifications Demonstrated ability and experience with: Single and cross-cloud implementations and migrations Advanced Migrations and Integrations Data modeling and data architecture Discovery, requirements gathering and business process mapping Release management, source control, and deployment technologies such as CI/CD pipelines, Metadata API, and integration services A solid understanding of the architectural principles of cloud-based platforms, including SaaS, PaaS, multitenancy, multi-tiered infrastructure, integration patterns, and application servers Awareness of platform-specific design considerations such as large data volumes, allocation limits, and data migration Ability to apply best practices in security, performance, and scalability to all Salesforce applications. Big picture thinking on projects and considering the overall landscape when designing solutions