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Elastic Search Architect Jobs (NOW HIRING)

Using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log Stash and Beats. * Using ... At least 5 years of experience with Kubernetes architecture. * Strong knowledge of ELK stack.

Using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log Stash and Beats. * Using ... At least 5 years of experience with Kubernetes architecture. * Strong knowledge of ELK stack.

Using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log Stash and Beats. * Using ... At least 5 years of experience with Kubernetes architecture. * Strong knowledge of ELK stack.

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 ...

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 ...

Elastic Observability Architect Architect, configure, and manage the ELK Stack to support logging ... Large-scale data handling (logs, metrics, search) * High Availability (HA) & Disaster Recovery (DR)

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Elastic Search Architect information

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$46.5K

$128.8K

$201.5K

How much do elastic search architect jobs pay per year?

As of Jun 27, 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, and why are they important?

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 June 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, and 96% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.
Software Architect

Contractor

Posted 22 days ago


Job description

Job Title: Software Architect

Location: Bethesda, MD (3-4 days a week onsite, can be remote after that)

Duration: 4 + Months

Requirements:

  • Experience with technologies like

a. SPARK (or any other stream processing framework like Flume)

b. KAFKA

c. Elastic Search (or any search engine like Solr)

d. No SQL database (Couchbase, Mongo etc. but Couchbase highly preferred over others).

  • Mandatory hands on with at least one or SPARK or Elastic Search (preferably SPARK including SPARK Streaming).
  • Experience with architecting and developing enterprise applications that deal with data processing, no front end implementation experience desired
  • Applicant should be able to set up the tech stack locally, think through the solution options specifically from a faster data processing standpoint and guide a set of developers on low level design.
  • Applicant should be able to work with disparate enterprise teams to gauge requirements and convert them into scalable application design
  • Working with offshore team, creating design elements and guiding them on the application design based on requirements, reviewing their deliverables.
  • Experience with other big data technologies is only needed to have a "data processing mindset orientation to problems" but it is not mandatory.

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About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

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