Architect II - Enterprise Solutions (Salesforce Architect)

5 - 9 years

0 Lacs

Posted:1 week ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: As a Salesforce Architect, you will be responsible for leveraging your expertise in Salesforce and Data Cloud to design and implement robust Salesforce data architectures. You will play a key role in integrating AI/ML models with Data Cloud and enhancing customer analytics and insights. Your strong communication skills will be essential in effectively coordinating between onsite and offshore teams, and guiding development teams in Apex, Visualforce, and Lightning implementations. Key Responsibilities: - Utilize your Salesforce and Data Cloud expertise to design and implement Salesforce data architectures - Integrate AI/ML models with Data Cloud using tools like Einstein Studio - Coordinate effectively between onsite and offshore teams - Guide development teams in Apex, Visualforce, and Lightning implementations - Design and implement API-based integrations, ETL/ELT pipelines, and event-driven architectures - Familiarity with cloud-native architectures like AWS, Azure, GCP, Snowflake, and Databricks - Implement real-time personalization, predictive insights, and recommendation engines - Work with US-based clients and engage with enterprise architecture teams for data modeling and strategy discussions Qualifications Required: - Salesforce Certified Data Cloud Consultant - Salesforce Application Architect or System Architect certification - Proven experience in designing and implementing Salesforce data architectures - Strong understanding of Salesforce integration patterns, data modeling, and API frameworks - Experience with API-based integrations, ETL/ELT pipelines, and event-driven architectures - Familiarity with cloud-native architectures such as AWS, Azure, GCP, Snowflake, and Databricks - Expertise in data architecture, data governance, MDM, data lakes, and warehousing - Strong experience with middleware platforms like MuleSoft - Knowledge of real-time personalization, predictive insights, and recommendation engines - Experience integrating AI/ML models with Data Cloud using tools like Einstein Studio - Ability to coordinate effectively between onsite and offshore teams - Strong communication and problem-solving skills - Ability to guide development teams in Apex, Visualforce, and Lightning implementations Additional Details: - No additional details provided in the job description.,

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