You will architect and govern data solutions within the Salesforce ecosystem.
Responsibilities
Lead architecture, strategies, and policies for data governance in Salesforce.com, covering master data, metadata, data quality, and integrations.
Design and implement scalable Salesforce.com data architectures, ensuring performance and integrity.
Partner with architects and business stakeholders to define data exchange needs and lead large-scale data migrations.
Develop and maintain ETL processes, data dictionaries, and data models in Salesforce.com.
Design, build, and maintain integration processes between Salesforce.com and external systems, collecting requirements for batch, near real-time, and real-time patterns.
Required Skills
8+ years in Salesforce implementation, including configuration, customization, and ERP integration.
Solid understanding of Salesforce data architecture and master data, including data quality, cleansing, deduplication, and enrichment strategies.
Extensive experience designing cloud, hybrid, and on-prem integrations using iPaaS, API-led, and event-driven architectures.
Proficiency in Salesforce Apex, VisualForce, Lightning Components, SOQL, and DML.
Experience designing, building, and maintaining MuleSoft APIs using Mule ESB Anypoint Studio (Mule Connectors, Database, MSMQ, HTTP, Web Service Consume).
Skilled in implementing API-first integrations using REST/SOAP APIs, leveraging OAuth 2.0, SAML, SSL.
Experience with data modeling, ETL, and large-scale migrations using Data Loader and third-party ETL tools.
Strong grasp of CI/CD and DevOps practices using tools like Copado, Jenkins, and Git.
Bachelor’s in information systems or computer science.