Salesforce Solutions Architect</h5

br>Employment Type: Full Time, Permanent
Work mode: Onsite

Job description

• Lead the design, planning, implementation, and governance of Salesforce solutions which support business enablement, integrated platforms and services across Ninja Van s application landscape.
• Responsible for designing, coding, developing, integrating and implementing enhancements to the Salesforce system.
• Translate functional business needs into efficient, well-architected and scalable solutions which leverage appropriate technology toolsets.
• Create architectural documentation detailing solutions as reference for other platform team members and partners.
• Be continuously abreast of new trends within Salesforce and associated technologies, and leverage this insight to envision new opportunities for business enablement and construct prototypes to demonstrate proposed solutions.

Technical Abilities and Responsibilities:

• 6-10 years of experience.
• Proven experience in overseeing the direction, development, and implementation of CRM software solutions.
• System design experience, with the ability to architect or explain complex systems interactions including data flows, common interfaces, APIs and other methods.
• Direct hands-on experience with Customization (Apex Triggers, Classes VisualForce), Configuration (Formulas, Workflows, Approval processes, Custom objects and fields, Sharing Rules, Page layouts, Record types, Permission Sets, Reports and Dashboards) and Integration experience with Salesforce.com APIs.
• Excellent leadership, stakeholder management and communication skills to speak and present in front of senior executives.
• Demonstrated ability to adapt and learn new technologies, and be passionate in updated trends.
• Familiar with Agile Methodology.

Required Skills:

• Backend: Play (Java 8+), Golang, Node js , Python, FastAPI
• Frontend: AngularJS, ReactJS
• Mobile: Android, Flutter, React Native
• Cache: Hazelcast, Redis
• Data storage: MySQL, TiDB, Elasticsearch, Delta Lake
• Infrastructure monitoring: Prometheus, Grafana
• Orchestrator: Kubernetes
• Containerization: Docker, Containerd
• Cloud Provider: GCP, AWS
• Data pipelines: Apache Kafka, Spark Streaming, Maxwell/Debezium, PySpark, TiCDC
• Workflow manager: Apache Airflow

Query engines: Apache Spark, Trino