The Audience Platform Architect will lead Salesforce Data Cloud implementations, design data models, ensure data integration, and support teams across marketing, IT, and analytics.
We are looking for a highly motivated and skilled Salesforce Data Cloud Architect to design, develop, and optimize Data Cloud data model and use cases. The successful candidate will work closely with cross-functional teams, including Marketing, IT, and Data Analytics, to bring dynamic content and tailored experiences to our customers.
Job Description:
Key Responsibilities:
- Lead the end-to-end implementation of Salesforce Data Cloud (CDP), including data acquisition, integration, quality assurance, and utilization.
- Configure and implement data-driven segmentation strategies, ensuring accurate audience targeting and content delivery.
- Design, document and implement data models, data pipelines, and transformations to support data ingestion, integration, and enrichment within Salesforce Data Cloud.
- Be curious and up-to-speed with the fast-paced releases coming to the platform.
- Collaborate with IT teams to ensure seamless data integration, troubleshoot technical issues, and optimize system performance for data initiatives.
- Integrate data from various sources, including CRM systems, databases, and third-party platforms, to support marketing and personalization efforts.
- Provide training and support to development teams on utilizing Salesforce Data Cloud features and capabilities.
SFDC Skills:
- Configure and optimize Data Cloud platform to meet business needs.
- Integration of Data Cloud with
- Salesforce CRM
- Salesforce MC
- Salesforce Marketing Intelligence
- Websites/microsites - using SDK method (setup connectors, sitemaps, schema, data streams)
- Snowflake
- Other sources
- Set up and manage data streams from various sources, ensuring seamless data flow
- Configure and develop criteria’s for Identity management, data transformations and calculated insights
- Configure and develop Lead scoring based on customer data from CRM and engagement data from different touchpoint such as website, MC engagement using data transformations and calculated insights
- Configure data transformations for data lake objects
- Develop and maintain data models that enhance data quality and usability.
- Assist in the creation of customer segments and support marketing and analytics teams.
- Monitor the platform to detect and resolve disruptions or errors promptly
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, Marketing, or a related field.
- Proven experience (2+ years) with a strong focus on Salesforce Data Cloud and/or custom database solutions
- Salesforce Data Cloud Consultant certification strongly preferred.
- Strong understanding of marketing automation, data segmentation, and personalized customer journeys, decisioning and Next Best Action.
- Experience with data integration and API utilization.
- Expertise in data modeling, ETL processes, data integration tools, and SQL.
- Experience with customer data platforms (CDPs) and data management practices, including data governance and compliance.
- Excellent problem-solving skills and attention to detail, with the ability to troubleshoot operational challenges.
- Familiarity with cloud technologies (e.g., AWS, Azure, GCP) and data modeling/scoring technologies.
- Strong communication and collaboration skills, with the ability to work effectively across cross-functional teams.
Location:
DGS India - Pune - Baner M- AgileBrand:
MerkleTime Type:
Full timeContract Type:
PermanentTop Skills
APIs
AWS
Azure
Data Integration Tools
ETL
GCP
Salesforce Data Cloud
SQL
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