
Principal I, Product Development, Security & Operations (DevSecOps) (Customer Data Platform Developer)
Alcon2 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Maintain scalable data models and structures in Salesforce Data 360.
- Design, build, and optimize real-time data pipelines from Salesforce and external sources.
- Implement segmentation, identity resolution, and audience activation workflows.
- Integrate AI-driven insights and automation into customer data solutions.
- Ensure data quality, governance, privacy, and compliance with organizational and regulatory standards.
- Lead the integration of security into product development and operational workflows.
- Optimize CI/CD pipelines and automate development and operations processes.
- Provide technical guidance on infrastructure management, security practices, and automation tools.
- Monitor system performance, troubleshoot and optimize solutions, and document technical implementations.
- Collaborate with cross-functional teams to translate business needs into technical solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent experience.
- At least 6 years of total experience.
- At least 2 years of relevant experience with Salesforce Data Cloud/Data 360, including data modeling, integration, and segmentation.
- Proficiency with Salesforce APIs, ETL/ELT tools, and connectors.
- Experience with real-time data processing architectures.
- Knowledge of AI/ML concepts and Salesforce Einstein.
- Understanding of data governance, privacy, and compliance, including GDPR, CCPA, and GxP.
- Experience with Salesforce Marketing Cloud, Tableau, and complex SQL is preferred.
- Familiarity with agile development and DevOps practices is preferred.
- Experience in regulated healthcare or pharmaceutical industries is a plus.
- Salesforce Data Cloud Consultant certification is preferred.
- Strong analytical, problem-solving, and communication skills.
Benefits
- Relocation assistance is provided.
- Work hours are 1 PM to 10 PM IST.
Tech Stack
Categories
Data Engineering