Job Title: Coveo Search Architect
Experience: 10+ Years Location: Remote – Pan India Employment: Haparz Payroll Role Type: Search Architecture / Enterprise Search / Digital Commerce
Role Overview
We are looking for an experienced Coveo Search Architect to design, implement, and optimise enterprise search solutions across B2B/B2C commerce, digital experience, and enterprise content platforms. The ideal candidate will combine hands-on Coveo implementation expertise with strong architectural leadership, relevance engineering, data integration, and search-quality optimisation.
The candidate should have delivered at least one complete Coveo implementation from discovery and architecture through production deployment and continuous optimisation.
Key Responsibilities
- Own the end-to-end architecture and technical delivery of Coveo-powered product, content, and enterprise search solutions.
- Conduct discovery workshops with business, merchandising, UX, engineering, and product stakeholders to translate requirements into scalable search architectures.
- Design Coveo organisations, sources, connectors, catalogues, fields, mappings, indexing pipelines, security identities, query pipelines, analytics, and machine-learning configurations.
- Architect secure and reliable data ingestion using Coveo connectors, Push API, Stream API, scheduled feeds, and incremental indexing strategies.
- Design B2B/B2C commerce search experiences covering products, SKUs, variants, facets, sorting, multilingual content, customer-specific catalogues, pricing, and entitlement-based access.
- Define search relevance strategies using ranking expressions, query rules, query ranking expressions (QREs), dictionaries, filters, boosts, semantic retrieval, and machine-learning-assisted ranking.
- Guide front-end search implementation using Coveo Headless, Atomic, Search APIs, and integrations with commerce, CMS, CRM, and enterprise platforms.
- Lead migrations from Solr or Elasticsearch to Coveo, including schema mapping, ingestion redesign, relevance benchmarking, validation, cutover, and rollback planning.
- Establish architecture standards for performance, scalability, availability, security, privacy, observability, and production support.
- Create solution architecture documents, technical specifications, estimates, implementation roadmaps, and integration designs.
- Lead technical reviews, mentor engineering teams, resolve complex production issues, and communicate architecture decisions to stakeholders.
- Develop or guide Python-based extensions and supporting automation where required by the solution.
Required Experience and Expertise
- 10+ years of experience in software engineering, enterprise search, digital platforms, or commerce solutions.
- At least 4 years in an architect, solution architect, or senior technical-lead capacity.
- Proven hands-on delivery of at least one end-to-end Coveo implementation, including production rollout and optimisation.
- Strong knowledge of Coveo architecture, indexing, connectors, data modelling, query pipelines, security, analytics, relevance tuning, and machine learning.
- Practical experience with product and content search, B2B/B2C commerce, product variants, facets, multilingual search, customer-specific catalogues, and entitlement filtering.
- Experience integrating Coveo with platforms such as Adobe Commerce, AEM, Salesforce Commerce Cloud, SAP Commerce, Sitecore, ServiceNow, Salesforce, Intershop, or custom applications.
- Strong understanding of REST APIs, authentication and authorisation protocols, JavaScript/TypeScript, modern UI frameworks, Python, cloud environments, CI/CD, and production operations.
- Ability to lead architecture workshops, provide estimates, present technical recommendations, and manage stakeholder expectations.
Preferred Experience
- Solr-to-Coveo or Elasticsearch-to-Coveo migration experience.
- Experience with Coveo Headless, Atomic components, Search APIs, and commerce integrations.
- Experience with Python extensions, advanced indexing automation, and search observability.
- Exposure to search-quality metrics, experimentation, relevance evaluation, and machine-learning-assisted ranking.
Expected Outcomes
- A scalable, secure, and maintainable Coveo architecture aligned with business objectives.
- Reliable data ingestion and accurate product/content indexing.
- Improved search relevance, discoverability, and user experience.
- Successful platform integrations or search migrations with validated quality and controlled cutover.
- Clear technical governance, documentation, and knowledge transfer to delivery teams.
Work Location: Remote
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