> Markdown version of [/jobs/ext/4622624-salesforce-media-technical-consultant](https://www.wearedevelopers.com/jobs/ext/4622624-salesforce-media-technical-consultant). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Salesforce Media Technical Consultant - **Company:** REMOTE - **Location:** San Francisco, CA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Customer Data Management, Data Cleansing, Data Migration, Data Systems, Cursor, DevOps, Design Web Format, Data Intelligence, Python (Programming Language), Operational Databases, Performance Tuning, Release Management, Salesforce.Com, SQL Databases, Systems Integration, Tableau (Software), Apex Code, Large Language Models, Snowflake, Test Scripts, Build Management, Data Management, Claude, Google Gemini, Looker Analytics, Data Pipelines, Databricks - **Published:** November 7, 2026 - **Apply:** https://www.juju.com/job/28_25303_442e073e469f440b01f3d3af9d6d49a4 ## About the Role * Platform depth. 10+ years of hands-on Salesforce experience spanning both declarative configuration and code-based development (Apex, LWC, integrations). You've architected solutions, not just implemented tickets. * Data fluency. Demonstrated experience restructuring, cleansing, and migrating data, with a clear point of view on how data should be modeled to serve both Salesforce and downstream analytics. 5+ years of hands-on Python and SQL experience in production data engineering or analytics environments. * Architecture judgment. Experience advising on enterprise Salesforce architecture, including the trade-offs between declarative and custom-code approaches, and how to design for scale. * AI literacy. Hands-on experience using AI tooling, Claude, Gemini, Cursor, or similar, to augment technical build activity, along with a working understanding of where AI solutions add real value on the Salesforce platform. * Consulting instincts. 10+ years of consulting or technical delivery experience. You know how to lead a discovery session, structure a blueprint, and manage a complex deployment under pressure. * Industry context. Meaningful exposure to media, ad sales, or adjacent industries. You understand the commercial dynamics of prospect-to-cash workflows and bring that context into your technical recommendations. * Communication that lands. Strong facilitation, documentation, and presentation skills. You can lead a technical architecture discussion in the morning and present findings to a C-suite audience in the afternoon. * Broad platform awareness. Familiarity with adjacent data and analytics platforms (Databricks, Snowflake, or similar) is a plus. Deep expertise across the full Salesforce ecosystem is a must. * Cultural alignment. You operate with speed and agility, thriving in fast-paced, entrepreneurial environments. You hold yourself to a high standard - and you raise the bar for the people around you. ## Description + Participate in technical discovery and blueprinting sessions with client stakeholders to define scope, requirements, and solution design. + Analyze architectural options using pros/cons methodology, internal knowledge/IP, and AI to finalize solution decisions. + Develop technical specifications and lead client discussions. + Create detailed functional and technical test scripts. * Data cleansing, migration, engineering & pipeline development + Restructure, cleanse, and migrate data into and within Salesforce, ensuring data models support both operational use and downstream reporting. + Establish data quality standards and governance practices that hold up across multiple client engagements. + Design and build scalable data pipelines, transformation workflows, and ingestion frameworks across client environments using Python and SQL. + Architect and implement data solutions on Salesforce Data 360 and Databricks, and integrate with enterprise data warehousing platforms. + Drive best practices for data modeling, pipeline reliability, performance tuning, and cost governance across engagements. + Support data migration, integration, and platform modernization workstreams for media and advertising sales clients. * Analytics & business intelligence + Partner with business stakeholders to translate complex data and reporting requirements into reliable, performant analytics solutions. + Design data models that serve both operational reporting and strategic analytics use cases across prospect-to-cash workflows. + Support BI tool integration and dashboard development, connecting data platforms to tools such as Tableau, Databricks Analytics, or Looker. + Design and build analytics reports and dashboards natively within Salesforce and Tableau, translating business requirements from media and advertising sales stakeholders into clear, actionable views. + Apply process mapping, measurement strategy, and analytical frameworks to identify optimization opportunities and deliver insight to clients. * AI strategy & development + Advise clients on AI strategy and help identify where LLMs and intelligent agents can deliver meaningful business value. + Build and support production AI solutions using Salesforce Agentforce, Databricks Mosaic, Claude, and Gemini. + Stay current with emerging AI capabilities and proactively apply those patterns to client engagements and internal practice development. * Salesforce platform architecture & development + Design and build declarative solutions (Flows, page layouts, validation rules, permission structures) that solve business problems without unnecessary technical overhead. + Design and build code-based solutions (Apex, LWC, integrations) where declarative tools reach their limits. Advise clients on enterprise Salesforce architecture, including org strategy, data model design, integration patterns, and scalability considerations. * Delivery & deployment management + Work in leading DevOps platforms to manage and deploy solutions across sandboxes and production environments, including release planning, testing, and change management. + Support go-live and post-go-live support stages to ensure client satisfaction. * AI-augmented delivery + Leverage leading-edge AI tools to augment your own build activity, improving delivery speed and quality across engagements. + Leverage agents to streamline your day-to-day workflows.