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Perficient

Global digital consultancy delivering IT solutions

Data Architect - Algolia

Data EngineeringConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • At least 5 years of experience in Data Engineering.
  • Hands-on experience with Algolia implementations and data integrations.
  • Strong SQL and data modeling skills.
  • Experience building ETL/ELT pipelines using Python, Spark, or similar technologies.
  • Experience with cloud environments such as AWS, Azure, or GCP.
  • Understanding of APIs, JSON data structures, and real-time data processing.

Responsibilities

  • Design and develop data pipelines to ingest, transform, and synchronize data into Algolia indices.
  • Build and maintain scalable ETL/ELT processes supporting search and content discovery use cases.
  • Optimize indexing performance, data quality, and search relevance.
  • Collaborate with application, product, and business teams to define search data requirements.
  • Implement monitoring, governance, and validation processes for indexed data.
  • Troubleshoot and resolve issues related to data synchronization and search performance.
  • Support integrations between Algolia and enterprise platforms, CMSs, eCommerce solutions, and customer-facing applications.

About the Company

Perficient

Global digital consultancy delivering IT solutions

Perficient is a global digital consultancy that provides IT and business consulting services to large enterprises. It helps organizations design and deliver IT and digital solutions, with services spanning business analysis, portal development, and AI-powered digital initiatives. Its offerings are carried out through a global delivery network across the United States, Latin America, India, and Europe, combining strategists and technologists to execute projects from strategy through implementation. The company differentiates itself by leveraging a broad, multinational delivery footprint and pursuing strategic acquisitions to expand its capabilities and market reach, enabling it to serve Forbes Global 2000 and other large enterprise clients across multiple industries. The goal is to help enterprises transform digitally, using data analytics, cloud computing, and AI to achieve measurable business outcomes and improved performance.

Company size
1,001-5,000
Company stage
IPO
Headquarters
St. Louis, MO
Founded
1998

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