Salesforce, Inc. is hiring a Big Data Technical Architect

Salesforce is hiring a Big Data Technical Architect to serve as a pre-sales enterprise data advisor for customers in the Global Public Sector, Education, and Non-Governmental Organizations. You will leverage your broad technical skills and industry knowledge to transform raw information into powerful business solutions using Salesforce's business intelligence, marketing, and AI capabilities.

What You'll Do

• Team with account executives and solution engineers to advance opportunities through discovery workshops, enablement sessions, and architecture presentations.
• Begin with the end business goals in mind, and work backwards to identify the supporting data sources, data aggregations, and calculated insights required to support the business goals.
• Define customer-driven architectures by selecting appropriate Salesforce technologies, leveraging product expertise, industry experience, data frameworks, and Salesforce methodologies.
• Develop and communicate data architecture (vision, capability models/assessments) and technical architecture (current/future state diagrams, roadmaps, design patterns, and reference architectures) to progress sales opportunities.
• Work with Solution Engineers to create AI agents that take customers' existing portfolio of data siloes and applications and create Salesforce agents that navigate across traditional data silos to accomplish real business-driven scenarios.
• Develop predictive models using Einstein Studio on top of Data Cloud.

What We're Looking For

• Subject matter experience in categories that may include data strategy, data lake architectures, data ingestion, data transformation, API integration, cloud computing, distributed platforms, mobile platforms, and business intelligence/analytics.
• Solid blend of technical and customer-facing skills with a consultative approach to understand business and technical requirements.
• Data lake storage, which may include technologies such as Databricks, Snowflake, Azure Data Lake, Google Cloud Storage, AWS S3 / AWS Lake formation.
• Data ingestion concepts like batch ingestion, real time streaming ingestion, event-drive ingestion, and change data capture ingestion.
• Data Mapping and Transformation concepts and hands-on experience using data mapping capabilities that include ETL tools like Informatica or integration technologies such as Mulesoft.
• Canonical Data Models (CDMs) - concepts and purposes of CDMs, benefits of industry standard CDMs like FHIR.
• Experience putting data to work by determining the data requirements needed to drive business use cases from a catalog of data.
• Experience making data actionable using API-driven integrations.

Nice to Have

• Hands on knowledge and experience working with Salesforce Data Cloud, Data Cloud Connectors, and configuring data merging, mapping, and transformations using Data Cloud tools.
• Experience using Informatica for data extraction, transformation and loading (ETL).
• Experience working with Salesforce Marketing Cloud using Data Cloud or Salesforce Customer Data Platform (CDP).
• Experience using Mulesoft as a data migration tool, to create actionable APIs, and emerging knowledge of Mulesoft's Model Context Protocol (MCP) capabilities as a driver for AI agent interaction.
• Knowledge and experience with any of the Salesforce Industry Clouds such as Health Cloud, Financial Services Cloud, Education Cloud or Public Sector Solutions.
• Knowledge of working with and integrating existing data lake technologies like Databricks, Snowflake, Azure Data Lake, etc and how these technologies can work alongside Data Cloud.

Technical Stack

• Databricks, Snowflake, Azure Data Lake, Google Cloud Storage, AWS S3, AWS Lake formation
• Informatica, Mulesoft
• Salesforce Data Cloud, Salesforce Marketing Cloud, Einstein Studio
• FHIR

Team & Environment

Works alongside solution engineers and account executives on the Global Public Sector, Education, and Non-Governmental Organizations Solutions team.

Benefits & Compensation

• Time off programs
• Medical, dental, vision insurance
• Mental health support
• Paid parental leave
• Life and disability insurance
• 401(k)
• Employee stock purchasing program
• Compensation: For Washington D.C based roles: $185,220 to $247,730. For Maryland based roles: $185,220 to $247,730.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. We are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.