54 Data Cloud Jobs - Page 3

Job Summary: We are seeking a highly skilled and motivated Salesforce Developer with expertise in Salesforce Data Cloud and Salesforce Loyalty Cloud to join our team. In this role, you will be responsible for designing, developing, implementing, and integrating customized applications and solutions that support our evolving business needs across both cloud platforms. You will work closely with cross-functional teams to build scalable and personalized experiences using the Salesforce platform. This role requires a strong understanding of Salesforce Loyalty Management, Data Cloud, Experience Cloud , Marketing Cloud , and Salesforce development tools such as Apex , LWC , and Flows . Compensation: The compensation will depend upon the experience and caliber you possess. Industry: Information Technology Department: Engineering Educational Qualification: Proven work experience in designing, developing, customizing, and implementing Salesforce solutions on Loyalty Cloud and Data Cloud Bachelors degree in Computer Science, Software Engineering, or a related field. Certifications in the related field is a plus. Key Responsibilities: Design, develop, and deploy scalable, high-performance Salesforce solutions leveraging Data Cloud and Loyalty Cloud . Build and customize Salesforce features using Apex , Visualforce , Lightning Components , and Lightning Web Components (LWC) . Connect and synchronize Salesforce Data Cloud with CRM and Loyalty Cloud to activate customer segments and behavioral insights. Implement and maintain Salesforce Loyalty Cloud features, including program rules, tiers, point accrual/redemption logic, and member lifecycle management. Leverage Salesforce Data Cloud (CDP) for unified customer profiles, segmentation, and activation across marketing and engagement platforms. Create robust data pipelines and integrations with external systems using REST/SOAP APIs and tools like MuleSoft . Implement loyalty management features including tier logic, points accrual/redemption, member lifecycle, and offers. Ensure high system performance through debugging, troubleshooting, and tuning. Implement and uphold best practices for data governance , security , and regulatory compliance . Perform data migration , data transformation , and cleansing activities as needed. Create and maintain technical documentation , including solution designs, architecture diagrams, and configuration guides. Conduct unit testing , assist in user acceptance testing (UAT) , and resolve production issues. Stay up to date with Salesforce platform enhancements, especially around Data Cloud and Loyalty Cloud , and recommend innovative improvements. Collaborate with product managers, marketers, and analysts to ensure accuracy in business logic and data flow. Provide technical mentorship to junior developers and perform code reviews to ensure high-quality, maintainable code. Actively contribute to the design and deployment of innovative Salesforce features that enhance customer engagement and satisfaction. Key Skills Required: Proven experience with Salesforce Loyalty Management and Salesforce Data Cloud . Proficient in Salesforce development tools : Apex, SOQL, LWC, Visualforce, Flow Builder. Experience integrating Salesforce with external systems via APIs and middleware. Knowledge of Salesforce architecture, data modeling, and security best practices. Experience with Agile methodology and tools like Jira or Azure DevOps. Excellent communication, collaboration, and problem-solving skills. Strong documentation and testing practices. Stay updated with Salesforce platform updates, new features, and industry best practices to recommend and implement process improvements and optimizations. Benefits and Perks: Flexible remote/hybrid work options with outcome-focused autonomy Custom compensation packages aligned with your expertise and market value Lead high-impact, career-defining projects with global clients Influence internal growth by mentoring future leaders and building elite teams Direct collaboration with executive leadership Represent Cyntexa at global industry events and strategic platforms Paid Leaves Maternity / Paternity Leaves Health Insurance

We are seeking a highly skilled and motivated Data Cloud Architect to join our Product and technology team. As a Data Cloud Architect, you will play a key role in designing and implementing our cloud-based data architecture, ensuring scalability, reliability, and optimal performance for our data-intensive applications. Your expertise in cloud technologies, data architecture, and data engineering will drive the success of our data initiatives. Responsibilities: Collaborate with cross-functional teams, including data engineers, data leads, product owner and stakeholders, to understand business requirements and data needs. Design and implement end-to-end data solutions on cloud platforms, ensuring high availability, scalability, and security. Architect delta lakes, data lake, data warehouses, and streaming data solutions in the cloud. Evaluate and select appropriate cloud services and technologies to support data storage, processing, and analytics. Develop and maintain cloud-based data architecture patterns and best practices. Design and optimize data pipelines, ETL processes, and data integration workflows. Implement data security and privacy measures in compliance with industry standards. Collaborate with DevOps teams to deploy and manage data-related infrastructure on the cloud. Stay up-to-date with emerging cloud technologies and trends to ensure the organization remains at the forefront of data capabilities. Provide technical leadership and mentorship to data engineering teams. Qualifications: Bachelors degree in computer science, Engineering, or a related field (or equivalent experience). 10 years of experience as a Data Architect, Cloud Architect, or in a similar role. Expertise in cloud platforms such as Azure. Strong understanding of data architecture concepts and best practices. Proficiency in data modeling, ETL processes, and data integration techniques. Experience with big data technologies and frameworks (e.g., Hadoop, Spark). Knowledge of containerization technologies (e.g., Docker, Kubernetes). Familiarity with data warehousing solutions (e.g., Redshift, Snowflake). Strong knowledge of security practices for data in the cloud. Excellent problem-solving and troubleshooting skills. Effective communication and collaboration skills. Ability to lead and mentor technical teams. Additional Preferred Qualifications: Bachelors degree / Master's degree in Data Science, Computer Science, or related field. Relevant cloud certifications (e.g., Azure Solutions Architect) and data-related certifications. Experience with real-time data streaming technologies (e.g., Apache Kafka). Knowledge of machine learning and AI concepts in relation to cloud-based data solutions.

Job Description : We are looking for an experienced Salesforce Data Cloud Consultant to join our growing team. In this role, you will play a crucial part in delivering scalable data-driven solutions on the Salesforce Data Cloud platform, working closely with cross-functional teams and business stakeholders to drive advanced customer data strategies, marketing automation, and real-time personalization. You will design and implement data models, manage data ingestion and segmentation, and contribute to integrated marketing solutions while ensuring best practices in data architecture, performance, and governance. Key Responsibilities : - Engage with internal and external teams to deliver Salesforce Data Cloud solutions, acting as a key liaison to end-users. - Analyze business requirements, identify gaps, and clearly communicate technical impacts to business and functional stakeholders. - Design and implement scalable, efficient data models and architecture on Salesforce Data Cloud. - Build ERD diagrams and document data flows and relationships. - Develop and configure data ingestion pipelines, identity resolution processes, data mapping, calculated insights (CI), transformations, segmentation, and activation strategies. - Integrate Salesforce Data Cloud with various cloud platforms (e., Marketing Cloud, Sales Cloud, external systems). - Collaborate with marketing teams and assist in building scalable marketing automation capabilities on Salesforce Marketing Cloud. - Optimize existing processes and solutions based on performance metrics and evolving -business needs. - Adhere to and advocate for design and implementation best practices to ensure long-term scalability and maintainability. - Develop code snippets or automation scripts using backend technologies (Python preferred) as needed. - Support documentation, testing, and training activities for project deployments. Required Qualifications & Skills : - Bachelor's degree in Computer Science, Information Technology, or related field. - 3-6 years of hands-on experience working with Salesforce Data Cloud (formerly CDP). - In-depth experience with all core Salesforce Data Cloud features. - Strong understanding of data modeling, SQL, and API integrations. - Hands-on experience with tools like Postman, DBeaver, and familiarity with CSV-based data handling. - Demonstrated ability to assess the impact of changes in business requirements on technical design. - Excellent problem-solving skills and a proactive attitude toward automation and optimization. - Strong verbal and written communication skills; ability to collaborate with both technical and non-technical stakeholders. - Understanding of marketing principles and marketing automation flows. - Experience analyzing and building backend automation workflows using Python or similar scripting languages. - 2-3 years of experience in Salesforce Marketing Cloud. - Salesforce Data Cloud Accredited Professional Certification - Must Have - Salesforce Marketing Cloud Certification - Nice to Have - Familiarity with Customer 360 and cross-cloud architecture - Exposure to cloud platforms like AWS, GCP, or Azure Location: Chennai, Hyderabad, Kolkata, Pune, Ahmedabad,Bengaluru, Delhi, Mumbai

Design, develop, and deploy solutions on Salesforce Data Cloud platform. CDP Implementation mandatory. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Build custom applications, integrations, and data pipelines using Salesforce Data Cloud tools and technologies. Develop and optimize data models to support business processes and reporting needs Implement data governance and security best practices to ensure data integrity and compliance. Perform troubleshooting, debugging, and performance tuning of Salesforce Data Cloud solutions. Stay current with Salesforce Data Cloud updates, best practices, and industry trends. Provide technical guidance and support to other team members and end-users. Document solution designs, configurations, and customizations. SFDC certification mandatory. Qualifications: Bachelors degree in computer science, Information Technology, or related field. 3+ years of experience in software development with a focus on Salesforce platform. Familiarity with data governance principles and practices. Excellent problem-solving and analytical skills. Effective communication and collaboration abilities