Data Architecture Analyst
Citi
AWSAzureCloudETLGoogle Cloud PlatformHadoopInformaticaKafkaPythonSQL
Salesforce Data Cloud Architect
dentsu Austria
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteSalary
💰 $113,000 - $182,850 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudETLGoogle Cloud PlatformInformaticaSQL
About the role
- Lead the full implementation lifecycle of Salesforce Data Cloud from data acquisition and integration to quality assurance, activation, and ongoing use
- Design and document scalable and robust solutions on-site with clients, translating business requirements into detailed technical tasks for offshore development teams
- Serve as the primary technical expert for offshore resources, providing hands-on support, troubleshooting complex issues, and ensuring high-quality deliverables
- Develop and execute sophisticated data-driven segmentation strategies to enable precise audience targeting and personalized customer journeys
- Design, document, and implement comprehensive data models, pipelines, and transformations to support data ingestion, integration, and enrichment within Salesforce Data Cloud
- Act as a subject matter expert on Salesforce Data Cloud, Marketing Cloud Personalization (MCP), and the evolving Salesforce Personalization (Einstein Personalization) landscape
- Integrate data from diverse sources, including Salesforce Sales and Service Clouds, various databases, and third-party platforms, to create unified customer profiles
- Participate in knowledge-sharing sessions, contribute to practice development, and lead internal proof-of-concept (POC) projects and demo builds
- Guide and support junior-level offshore resources, fostering technical growth and ensuring adherence to best practices
- Stay current with Salesforce release cycles and emerging industry trends, particularly in AI and cloud technologies
- Initially focus on Salesforce Data Cloud implementations and gradually incorporate Salesforce Personalization as client adoption grows
Requirements
- Minimum of 5 years of overall experience in a technical role
- At least 2+ years of hands-on experience focused on Salesforce Data Cloud and/or custom database solutions
- Salesforce Data Cloud Consultant certification (mandatory)
- Proven hands-on experience with Salesforce Sales Cloud and Service Cloud
- Experience with Salesforce Marketing Cloud Personalization (MCP/Evergage) is highly desirable
- Deep understanding of marketing automation, data segmentation, personalized customer journeys, decisioning, and Next Best Action strategies
- Expertise in data modeling, ETL processes, data integration tools (e.g., MuleSoft, Informatica), and SQL proficiency
- Strong working knowledge of core Salesforce platform concepts such as Lightning Web Components (LWC), Flows, and Apex
- Experience with Data Actions and Flow integrations, and API utilization
- Familiarity with cloud technologies (AWS, Azure, GCP) and data warehousing platforms (e.g., Snowflake) is an advantage
- Additional Salesforce certifications (particularly Agentforce Specialist) are a major advantage
- Bachelor's degree in Computer Science, Information Technology, Marketing, or comparable work experience
- Ability to travel up to 25%
- Will report to the architect—decisioning director and will not have managerial responsibilities
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