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Composable Enterprise Sme
2 weeks ago
Develop and implement a migration strategy for transitioning on-premises search systems to MACH compliant cloud-based solutions, adhering to composability principles.
- Design scalable and high-performance cloud solutions for integrating search with CMS, PIM, OMS, and e-commerce engines.
- Create event-driven solutions to efficiently populate and update search data.
- Identify scenarios where various architectural strategies can be applied to enhance search performance and optimize search outcomes.
- Collaborate with cross-functional teams, including Marketing, Merchandising, IT, and Digital, to align search solutions with client business needs.
- Define workflows for cloud-based search solutions and enhance business capabilities through training.
- Ensure the accuracy and integrity of product data and establish guidelines for product enrichment.
- Provide thought leadership on technology solutions to drive organizational and client growth.
- Recommend and implement best practices for taxonomy, categorization, and SEO in product data.
- Offer technical support for search systems issues and maintain current knowledge of industry trends and emerging technologies.
- Maintain up-to-date knowledge of industry trends, emerging technologies, and vendor solutions to effectively evaluate and recommend new and emerging technologies that can enhance the organization's capabilities leading to increased opportunities with the clients.
- Ensure data standards meet industry norms, best practices, and regulatory requirements.Support the creation of business proposals and assist with RFP reviews and responses.
**Skills required to contribute**:
Hands-on (Must have) 15+ years of working experience:
- 15+ years of experience with a strong focus on search systems within e-commerce solutions, both on-premises and cloud-based, over the past 5-7 years.
- Experience with search platform like Constructor is preferred however knowledge on similar MACH/SaaS systems like Algolia, Klevu will also be good.
- Experience in product enrichment, workflow definition, taxonomy development, and integration with systems such as CMS.
- Proficiency in developing solutions using various cloud data integration patterns, with a preference for AWS, but also familiarity with GCP or Azure.
- Experience in creating event-driven data solutions using messaging systems or middleware, such as Kafka.
- Knowledge of Oracle ATG Endeca is an added benefit.
- Strong understanding of end-to-end eCommerce platform operations.
- Experience with data integration tools (e.g., ETL) to support business teams.
- Experience in data monitoring tools like Dynatrace, AWS Cloudwatch, X ray
- Proficient in developing scalable No-SQL databases e.g., AWS DynamoDB, MongoDB.
- Working experience with REST, SOAP is must.
- Proficiency in managing and querying large datasets in relational databases, such as AWS RDS or Oracle.
- Experience with API management solutions (e.g., Amazon API Gateway, IBM API Connect, MuleSoft, Azure) tailored for the retail vertical and implemented across various customers.
- Ability to provide strategic direction to business and IT teams on best practices for search use cases.
- Excellent technical, communication, analytical, interpersonal, and presentation skills, with strong client interaction experience.
