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Elastic Search Architect Jobs (NOW HIRING)

The ideal candidate will have a strong background in data architecture, search technologies, and ... The Elastic Architect/Engineer is a critical role responsible for the design, implementation ...

Big Data Engineer

Los Angeles, CA

$60 - $79.50/hr

... responsible for architecture, design and development. Having the dynamic ability to adapt to ... Hadoop, HBase, Elastic Search, etc. 2+ years experience with Java Passion for doing research on ...

WI · On-site

$89.60 - $141.70/hr

The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the ... As a Solutions Architect at Elastic you will serve as a technical authority and trusted advisor to ...

New

Skills Required Elastic Search, Ruby, Javascript, Backbone, MySQL, and Java, Go, Apache Spark, Kafka Strong architecture skills - You are able to quickly comprehend our existing architecture and ...

Skills Required Elastic Search, Ruby, Javascript, Backbone, MySQL, and Java, Go, Apache Spark, Kafka Strong architecture skills - You are able to quickly comprehend our existing architecture and ...

Showing results 41-60

Elastic Search Architect information

See salary details

$46.5K

$128.8K

$201.5K

How much do elastic search architect jobs pay per year?

As of Aug 8, 2026, the average yearly pay for elastic search architect in the United States is $128,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $166,000.00 per year, depending on experience, location, and employer.

What is the difference between Elastic Search Architect vs Data Engineer?

AspectElastic Search ArchitectData Engineer
CredentialsRelevant certifications (e.g., Elastic Certified Engineer), technical expertise in search technologiesData management certifications (e.g., AWS, Google Cloud), programming skills
Work EnvironmentDesigning and optimizing search infrastructure, working closely with developers and data teamsBuilding data pipelines, managing databases, and ensuring data flow efficiency
Industry UsageTech, e-commerce, finance, where search optimization is criticalBroad industries including tech, finance, healthcare, focusing on data processing
Search IntentRoles related to search architecture and infrastructureRoles related to data pipeline development and management

The Elastic Search Architect focuses on designing and implementing search solutions using Elasticsearch, while the Data Engineer builds and maintains data pipelines and infrastructure. Both roles require technical expertise but serve different core functions within data and search ecosystems.

What are the main challenges Elastic Search Architects face when designing scalable search solutions for large organizations?

Elastic Search Architects often encounter challenges related to data volume, query performance, and cluster management. Ensuring high availability and fault tolerance while balancing cost and resource utilization is a key aspect of the role. Architects must also address security concerns, such as access control and data encryption, and work closely with development and operations teams to integrate Elastic Search seamlessly into existing infrastructure. Continuous monitoring, performance tuning, and staying updated with new Elastic Stack features are essential for long-term success.

What are the key skills and qualifications needed to thrive as an Elastic Search Architect?

To thrive as an Elastic Search Architect, you need deep expertise in search engine architecture, distributed systems, and strong programming skills, often supported by a degree in computer science or related fields. Familiarity with Elastic Stack (ELK), cloud platforms like AWS or Azure, and Elastic Certified Engineer credentials are highly valued. Strong analytical thinking, problem-solving abilities, and effective communication skills distinguish top performers in this role. These competencies are crucial for designing scalable, reliable search solutions that meet business needs and support efficient data retrieval.

What does an Elastic Search Architect do?

An Elastic Search Architect is responsible for designing, implementing, and optimizing search and analytics solutions using Elasticsearch. They analyze business requirements, develop scalable architectures, and ensure the reliability and performance of Elasticsearch clusters. Additionally, they often lead teams, set best practices, and troubleshoot complex issues related to indexing, querying, and data management. Their expertise enables organizations to efficiently search, analyze, and visualize large volumes of data.
More about Elastic Search Architect jobs
What cities are hiring for Elastic Search Architect jobs? Cities with the most Elastic Search Architect job openings:
What states have the most Elastic Search Architect jobs? States with the most job openings for Elastic Search Architect jobs include:
What job categories do people searching Elastic Search Architect jobs look for? The top searched job categories for Elastic Search Architect jobs are:
Infographic showing various Elastic Search Architect job openings in the United States as of August 2026, with employment types broken down into 1% Locum Tenens, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Senior Elastic Architect/Engineer

asrcfh

Quantico, VA • Hybrid

Full-time

Re-posted 15 hours ago


Job description

ASRC Federal is seeking a highly skilled and experienced Elastic Architect/Engineer to join our dynamic team. The successful candidate will be responsible for the design, implementation, and optimization of our Elastic Stack infrastructure. This role is critical for building and maintaining robust, scalable data solutions that provide actionable insights from complex data sets. The ideal candidate will have a strong background in data architecture, search technologies, and big data processing. This position will support our DCSA contract based at Quantico VA.

Remote flexibility available! Telework offered with a requirement to be onsite up to three (3) days a week at Quantico Marine Corps Base VA.

Position Description:

The Elastic Architect/Engineer is a critical role responsible for the design, implementation, maintenance, and operational support of the Elastic Stack (Elasticsearch, Logstash, Kibana, Beats). This position focuses on architecting solutions for large-scale data ingestion, real-time search and analytics, and visualization to maintain a strong data-driven decision-making capability and adhere to relevant data governance policies. The Elastic Architect/Engineer will collaborate with cybersecurity professionals, engineers, and IT staff to build and enhance data pipelines, create insightful dashboards, and improve the overall data platform.

Minimum Requirements: 

  • Minimum of 10 years of experience in data architecture, search engineering, or big data solutions.
  • Active Top-Secret Clearance REQUIRED, eligible to be upgraded to TS/SCI
  • Must meet 8570 IASAE III certification requirements at the time of hire.  (e.g., CISSP-ISSAP, CISSP- ISSEP certification)
  • Bachelor’s Degree, in Cybersecurity, and/or Information Systems Management or equivalent experience.
  • Highly desired: Elastic Certified Engineer (ECE) certification.

 

Responsibilities:

  • Elastic Architecture and Design:
    • Design and architect scalable, high-performance Elastic Stack solutions to meet business and technical requirements.
    • Develop and maintain data models, index strategies, and shard allocation plans.
    • Install, configure, and maintain Elastic Stack components in cloud or on-premise environments.
  • Data Ingestion and Processing:
    • Build and manage data ingestion pipelines using Logstash, Beats, and other integration tools (e.g., Kafka).
    • Implement data transformation, enrichment, and parsing logic to prepare data for indexing.
    • Ensure data quality, integrity, and availability across the platform.
  • Search, Analytics, and Visualization:
    • Develop complex search queries, aggregations, and analytics to extract insights from data.
    • Design and create insightful and interactive dashboards and visualizations in Kibana.
    • Work with stakeholders to understand their data needs and build custom analytics solutions.
  • Performance Tuning and Optimization:
    • Monitor cluster health and performance, proactively identifying and resolving bottlenecks.
    • Optimize index performance, query speed, and resource utilization.
    • Perform capacity planning to ensure scalability for future growth.
  • System Administration and Maintenance:
    • Perform system administration tasks for the Elastic cluster, including upgrades and patching.
    • Implement and manage security for the Elastic Stack, including role-based access control (RBAC), encryption, and SSO.
    • Develop and maintain backup and disaster recovery strategies for the data platform.
  • Collaboration and Support:
    • Collaborate with development teams to integrate applications with the Elastic Stack.
    • Provide expert-level support and guidance to users of the platform.
    • Troubleshoot and resolve complex issues related to the Elastic ecosystem.
  • Continuous Improvement:
    • Stay up-to-date with the latest Elastic Stack features, best practices, and industry trends.
    • Research and evaluate new technologies and plugins to enhance platform capabilities.
    • Document architectural standards, procedures, and best practices.

 

Work Environment and Physical Demands: 

  • This is primarily a Telework position with a requirement to be onsite up to three (3) days a week
  • If alternate worksite is other than DCSA facilities or corporate office space, must have the reliable ability to communicate over voice (cell phone preferred) and stable, capable internet connection
  • Must be able to communicate complex technical ideas to a diverse customer base both verbally and in written form

Designs and defines system architecture and solutions for integrating multiple platforms, operating systems, cloud and applications. Determines systems specifications, input/output processes, and working parameters for hardware/software/cloud compatibility and maintenance of system security. Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. Develops and documents the framework for integration and implementation for changes to technical standards and overall enterprise architecture. Assists in the development and management of an architecture governance process. Develops and recommends corrective actions and system solutions. Provides technical guidance for database administrators, software developers, and other stakeholders. Understands and determines requirements of infrastructure, network, and security in third party cloud offerings. Translates business requirements into functional and technical architecture. May guide decisions on which technologies to implement, operational planning and useful life of products. Requires a Bachelor's degree and a minimum of 10-12 years of experience in a related or applicable field, or an equivalent combination of education and experience.