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Audience Platform Architect

Posted 19 Days Ago
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4 Locations
Junior
4 Locations
Junior
The Audience Platform Architect will lead Salesforce Data Cloud implementations, design data models, ensure data integration, and support teams across marketing, IT, and analytics.
The summary above was generated by AI

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- Agile

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Top Skills

APIs
AWS
Azure
Data Integration Tools
ETL
GCP
Salesforce Data Cloud
SQL

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