Salesforce Architect

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Company: Omni Inclusive

Location: Dunn Loring, VA 22027

Description:

Roles & Responsibilities
  • Development and Configuration: Develop and configure Salesforce Data Cloud solutions to meet business requirements, including data models, data flows, and integrations.
  • Data Integration: Implement and manage integrations between Salesforce Data Cloud and various data sources using APIs, ETL tools, and other integration technologies.
  • Data Management: Ensure data quality, consistency, and security by implementing best practices for data governance and management.
  • Customization: Customize and extend Salesforce Data Cloud functionalities through Apex, Lightning components, and other Salesforce development tools.
  • Automation: Automate data processing and workflows to streamline operations and improve efficiency.
  • Collaboration: Work closely with data architects, business analysts, and other developers to translate business needs into technical solutions.
  • Testing and Debugging: Conduct thorough testing and debugging to ensure the reliability and performance of data solutions.
  • Documentation: Maintain comprehensive technical documentation for data models, integration processes, and custom solutions.
  • Support and Maintenance: Provide ongoing support and maintenance for existing data solutions, addressing issues and implementing enhancements as needed.
Desired Skills & Experience
  • Experience: Minimum of 4-5 years of experience in Salesforce development, with a focus on Salesforce Data Cloud or similar platforms.
  • Certifications: Salesforce certifications such as Salesforce Data Cloud Consultant, Salesforce Platform Developer I/II, or similar are highly desirable.
  • Technical Skills:
    • Proficient in Salesforce Data Cloud, Salesforce CRM, and related technologies.
    • Strong knowledge of Apex, Lightning components, and Salesforce development tools.
    • Good knowledge in AMScripting of Salesforce Marketing Cloud
    • Exposure to data integration with Cloud paltforms like GCP or AWS would be an advantage.
    • Experience with data integration tools (e.g., MuleSoft, Informatica) and APIs.
    • Familiarity with ETL processes, data modeling, and data warehousing.
  • Analytical Skills: Strong analytical and problem-solving skills with a focus on data accuracy and integrity.
  • Communication: Excellent verbal and written communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
  • Adaptability: Ability to work in a fast-paced environment and adapt to changing business needs and priorities.

Interpersonal Skills
  • Excellent written, verbal and presentation skills
  • Strong understanding of data modeling, ETL processes, and integration techniques.
  • Experience Salesforce Sales / Service, Financial Services Cloud and understanding of Banking products.
  • Ability to effectively prioritize and execute tasks, and collaborate with various stakeholders and deliver in tight timelines
  • Experience working in a team-oriented, collaborative environment

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