Dashboard Solution Architect
Listed on 2026-09-12
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IT/Tech
Data Engineering, Data Analyst
The Dashboard Solutions Architect responsibilities include conducting a full engineering lifecycle of data that includes requirements from DHS, other OMB initiatives, and provide support for the whole program. This position also requires building a new data automation practice on the program to address our client’s most pressing needs with Cyber Security Threats and Data. The successful candidate will bring a consultative approach to data to improve the value of the data that’s being collected by our customers.
This position is also a thought leader in the practice of Big Data in solving our clients’ cyber security problems, coupled with demonstrated experience designing and developing enterprise data solutions for large clients by providing a new approach to the team, presenting white papers and other solutions.
More
About the Role:
- Design and implement ELK (Elastic Search, Logstash and Kibana) stack solutions primarily on cloud systems using Elastic Cloud Enterprise (ECE)
- Design the implementation and use of cross cluster search between clusters on different networks
- Design Index Life cycle management policies over multiple storage tiers to ensure high water / flood stage events do not occur.
- Develop documentation for operations staff to ensure elasticsearch clusters maintain a healthy state and data volume.
- Design elements in an environment consisting of hundreds of Elasticsearch clusters.
- Design, implement, and document the creation of elasticsearch indices, index templates, explicit mappings, data views, Runtime fields, data streams, and ingest pipelines.
- Design streaming data pipelines using Elastic Beats / Agent on endpoints, fleet server, and elastic integrations.
- Direct engineers in creating advanced KQL queries to power visualizations, reports, and other use cases as needed
- Design elasticsearch systems to deploy to docker containers to Red Hat Linux hosts.
- Design dynamic Kibana visualizations to display complex analytics of data stored in elastic indices.
- Develop data reporting methodologies within Elastic Cloud Enterprise to advance CDM functionality and usability within Agency environments.
- Direct and assist engineers in creating YAML configuration files for standard elasticsearch and containerized elastic platforms.
- Design and support the interfacing with a Big Data platform build in the cloud.
- Investigate alternatives for data storing and processing to ensure implementation of the most streamlined solutions.
- Collaborate with the Data and Architect team to understand Data that is generated by multiple tools such as Asset Management, Identity Management, Vulnerability management systems.
- Design solutions using cloud storage offerings that support the scalable processing and storage of our high frequency data.
- Design automation of manual processes using Python, BASH, Power Shell, or other scripting language
- Review, Identify, Analyze data from multiple sources of Cyber Security tools at multiple agencies.
- Interpret data, analyze results using statistical techniques and support data trends based on the customer needs.
- Identify, analyze, and interpret trends or patterns in complex data sets.
- Analyze source data and types, identify data requirements for destination systems.
- Analyze, interpret, and develop data models on data based on Data Dictionary & Logical Data Models guidance.
- Locate and define inefficiencies and design new process improvement opportunities.
- Ensure that mapping of data elements provided by COTS products to the Logical Data Model
- Research evolving industry technology and trends to continually be innovating and improving our system’s architecture.
- Other duties as assigned.
You’ll Bring These
Qualifications:
- Must be a US citizen and pass a background investigation.
- Able to obtain and…
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