Solr Search Architect || Chicago, IL (100% Onsite)

[Sourabh Diwakar]

Job Title: Solr Search Architect

Location: Chicago, IL (100% Onsite)
Employment Type: Contract / C2C

 

Position Overview

We are seeking an experienced Solr Search Architect to design, architect, and implement enterprise-grade search platforms for large-scale applications. The ideal candidate will have extensive experience with Apache Solr, distributed search architectures, search indexing, RESTful API development, and enterprise search technologies.

This role requires deep expertise in building scalable search solutions, implementing indexing pipelines, developing connectors, and integrating search platforms with enterprise applications. Experience with Elasticsearch, Lucidworks, Coveo, Sinequa, or Attivio is highly desirable.

 

Key Responsibilities

Search Solution Architecture

• Design and architect enterprise-scale search solutions using Apache Solr.
• Build highly available, scalable, and distributed search platforms.
• Define search architecture, indexing strategies, and search optimization techniques.
• Evaluate and recommend enterprise search technologies based on business requirements.

Search Platform Development

• Design and develop scalable search applications using Apache Solr.
• Build and maintain search indexes for structured and unstructured data.
• Implement advanced search capabilities including filtering, faceting, ranking, and relevance tuning.
• Optimize indexing and query performance for high-volume search environments.

REST API Development

• Design and develop RESTful APIs using Java and/or Python.
• Build search services for enterprise applications.
• Integrate search APIs with internal and external systems.
• Ensure APIs are scalable, secure, and high-performing.

Connector Development

• Design and implement custom connectors for Solr indexing.
• Develop ingestion pipelines for multiple enterprise data sources.
• Configure incremental and real-time indexing.
• Support content synchronization across enterprise repositories.

Distributed Search

• Implement distributed search architectures using:
• SolrCloud
• Elasticsearch Cross-Cluster Replication (CCR)
• Configure clustering, replication, sharding, and failover mechanisms.
• Optimize distributed search performance and availability.

Search Optimization

• Tune search relevance and ranking algorithms.
• Optimize query execution and indexing performance.
• Improve search response times and scalability.
• Monitor and troubleshoot search platform performance.

Data Integration

• Integrate enterprise data sources with search platforms.
• Work with structured and unstructured datasets.
• Support large-scale data ingestion pipelines.
• Collaborate with data engineering teams on search indexing strategies.

Technical Leadership

• Provide architectural guidance and technical leadership.
• Mentor developers on search platform best practices.
• Conduct architecture and code reviews.
• Participate in solution design workshops with business stakeholders.

Documentation & Best Practices

• Develop architecture documents and technical specifications.
• Establish enterprise search standards and governance.
• Document indexing processes, APIs, and deployment procedures.
• Promote reusable search components and best practices.

 

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 10–12+ years of software development and enterprise search experience.
• Successfully delivered 2 or more enterprise search implementation projects.
• Strong analytical, problem-solving, and communication skills.
• Experience working directly with business stakeholders and technical teams.

 

Required Technical Skills

Enterprise Search Platforms

• Apache Solr
• SolrCloud
• Elasticsearch
• Lucidworks
• Coveo
• Sinequa
• Attivio

Programming

• Java
• Python

API Development

• RESTful APIs
• JSON
• Microservices

Search Technologies

• Search Indexing
• Search Optimization
• Search Relevance
• Faceted Search
• Full-Text Search
• Query Optimization

Distributed Search

• SolrCloud
• Elasticsearch CCR
• Clustering
• Replication
• Sharding

Data Engineering

• Connector Development
• Data Ingestion
• Indexing Pipelines
• ETL Concepts

Databases

• NoSQL Databases
• SQL Databases

Big Data & AI (Preferred)

• NLP (Natural Language Processing)
• Big Data Technologies
• Machine Learning for Search

Development Tools

• Git
• Maven
• Jenkins
• CI/CD

 

Preferred Qualifications

• Experience with multiple enterprise search platforms (Solr, Elasticsearch, Lucidworks, Coveo, Sinequa, or Attivio).
• Experience with distributed search environments.
• Exposure to NLP, AI-powered search, or semantic search technologies.
• Experience with NoSQL databases.
• Consulting or client-facing experience.
• Experience working on enterprise digital transformation projects.

 

Feel free to let me know if you have any questions.