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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 ...

Big Data Engineer

Los Angeles, CA · On-site

$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 ...

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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 Jul 19, 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 July 2026, with employment types broken down into 2% Locum Tenens, 93% Full Time, 2% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $128,756 per year, or $61.9 per hour.

Prin. Software Engineer (Elastic)

Nightwing

Sterling, VA • On-site

Full-time

Re-posted 20 days ago


Job description

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers' most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.
Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers' most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets.
The Elastic Engineer will be a part of a team of Data Analytic Engineers enhancing, maintaining, and sustaining an Elastic, Logstash, and Kibana (ELK) instance with a heavy emphasis on data on-boarding, content development, configuration, troubleshooting, reporting, and visualizations. The candidate must possess prior Elastic engineering and administration experience, meet the necessary certification prerequisites, and work well in a distributed team environment.
The Duties and Responsibilities of this role include:
  • Building data pipelines to ingest external datasets into Elastic products.
  • Designing, building, deploying, maintaining, and enhancing the Elastic Logstash Kibana (ELK) platform.
  • Installing and configuring ELK.
  • Using Elastic search Indices, Elastic search APIs, Kibana Dashboards, Log Stash and Beats.
  • Using or creating plug-ins for ELK like authentication and authorization plug-ins.
  • Integrating ELK with enterprise tools and APIs, such as for authentication and authorization.
  • Designing and implementing complex development use cases and scenarios using programming language, such as Python, Groovy, and Bash.
  • Using Elastic Search Cluster Monitoring Tools.

Required skills:
  • U.S. Citizenship
  • Active Secret (S) clearance. Must be able to obtain a TS/SCI clearance
  • Must be able to obtain DHS Suitability
  • 6+ years of directly relevant software development experience required.
  • At least 2 years of experience as an Elastic Cloud on Kubernetes (ECK) admin or equivalent role.
  • At least 2 years of experience with Elasticsearch Domain Specific Language (DSL).
  • At least 5 years of experience with Kubernetes architecture.
  • Strong knowledge of ELK stack.
  • Knowledge of scripting languages, such as JavaScript, Python, Bash, etc.

Desired Skills:
  • Experience working in an agile environment.
  • Experience supporting federal customers.

Required Education:
  • Bachelor's degree in Software Engineering, Computer Science or a related discipline is required.

Desired Certifications:
  • DoD 8570.1-M Compliance at IAT Level I (e.g., Certified Information Systems Security Professional (CISSP)) certification highly desired
  • Agile software development methodology certification (e.g. SCRUM Master) highly desired.
  • Has achieved an Elastic certification, such as: Elastic Certified Engineer, Elastic Certified Analyst, or Elastic Certified Observable Engineer
  • Has achieved a Kubernetes certification, such as: Kubernetes and Cloud Native Associate (KCNA), Kubernetes and Cloud Native Security Associate (KCSA), Certified Kubernetes Application Developer (CKAD), Certified Kubernetes Administrator (CKA), or Certified Kubernetes Security Specialist (CKS)

Syndeo: 3464
At Nightwing, we value collaboration and teamwork. You'll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we'll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients.
Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team.
Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.