I

Iron Bow Technologies

Principal Solution Architect - AI & Data/Splunk

Pre-Sales Solution EngineeringUpdated on Oct 30
Full-timeUnited States

About the Job

Requirements

  • At least 12 years of engineering or consulting experience across security operations, IT operations, data platforms, or infrastructure in pre-sales and post-sales roles, including at least 7 years designing and deploying Splunk in enterprise or government environments.
  • At least 12 years of IT consulting experience supporting a diverse client base, with an emphasis on Department of War customers and complex, mission-critical environments.
  • Ability to architect multivendor security, observability, and data solutions for large government and enterprise customers.
  • Expert-level architecture and hands-on experience with Splunk Enterprise and Splunk Cloud Platform, including distributed deployment design, indexer and search head clustering, multisite design, sizing and performance tuning, SPL, data models, apps and add-ons, and lifecycle management.
  • Strong expertise with Splunk Enterprise Security and SOAR, including risk-based alerting, detection engineering, UEBA, threat intelligence management, playbook development, and SOC workflow design.
  • Strong expertise with Splunk Observability, including Observability Cloud (APM, infrastructure monitoring, RUM, and synthetics), AppDynamics, IT Service Intelligence, and OpenTelemetry instrumentation and collection.
  • Experience integrating Splunk with Cisco technologies, including Cisco XDR, Secure Firewall, Secure Network Analytics, Duo, ISE, ThousandEyes, and Cisco networking telemetry.
  • Working knowledge of security frameworks and federal requirements, including MITRE ATT&CK, NIST CSF, NIST SP 800-53, RMF, Zero Trust, CDM, FedRAMP, and DoD Impact Levels.
  • Working knowledge of AWS, Azure, and GCP (including government regions), Kubernetes, and data platforms such as object storage, Snowflake, and Databricks as data sources and federation targets.
  • Practical understanding of artificial intelligence and machine learning as applied to machine data, including anomaly detection, forecasting, LLM-based assistants, agentic workflows, and AI governance.
  • Scripting and automation experience with Python, REST APIs, and infrastructure-as-code tools such as Ansible and Terraform.
  • Strong capacity-planning and resiliency skills across ingest volume, storage, retention, search workload, and licensing, including cost optimization and growth planning.
  • Experience with technical architecture, implementation planning, project leadership, proofs of concept, and high-level and low-level design documentation, including translating mission and security requirements into Splunk specifications.
  • Bachelor's degree in computer science, cybersecurity, mathematics, electrical engineering, information technology, or an equivalent technical discipline.
  • U.S. citizenship is required.
  • Candidates must reside within a reasonable commuting distance of the VA/MD/DC metropolitan area.

Responsibilities

  • Research and evaluate Splunk, Cisco, and adjacent security, observability, and data technologies that address customer mission and business requirements.
  • Build relationships with Splunk and Cisco account, architecture, and product teams, as well as strategic partners across security, networking, cloud, and data.
  • Lead customer discovery, assessments, architecture, and solution development for SIEM modernization, SOC transformation, observability, AIOps, and machine data strategy.
  • Architect Splunk Enterprise and Splunk Cloud Platform deployments, including hybrid designs, indexer and search head clustering, multisite resiliency, capacity sizing, data retention and tiering, and federated search across cloud storage and data platforms.
  • Design data onboarding and pipeline strategies covering source prioritization, forwarder and OpenTelemetry collection, edge and ingest processing, normalization to CIM and OCSF, data quality, and cost control.
  • Architect security operations solutions on Splunk Enterprise Security, including risk-based alerting, detection engineering, threat intelligence, UEBA, SOAR playbooks, case management, and integration with Cisco XDR, Cisco Secure Firewall, Talos, and third-party security tools.
  • Design observability solutions spanning Splunk Observability Cloud, AppDynamics, IT Service Intelligence, and ThousandEyes, connecting infrastructure, application, network, and digital experience telemetry to service health and mission or business impact.
  • Apply Splunk and Cisco AI capabilities, including Splunk AI Assistant, the AI Toolkit, Model Context Protocol integrations, agentic workflows, and the Cisco Data Fabric, to anomaly detection, forecasting, triage, and automation with appropriate governance and human oversight.
  • Architect Splunk for government and regulated environments, including FedRAMP and DoD Impact Level 5 cloud offerings, on-premises and air-gapped deployments for classified networks, and use cases supporting RMF, continuous monitoring, Zero Trust, and CMMC.
  • Develop migration and modernization plans for customers moving from legacy SIEM, logging, or monitoring tools, or from Splunk Enterprise to Splunk Cloud Platform, covering content conversion, parallel operations, cutover, rollback, and operational handoff.
  • Provide pre-sales support for Splunk, security, observability, and data engagements, and serve as a technical point of contact for critical customer escalations and post-sales consultations.
  • Support RFQs, RFPs, technical proposal volumes, LOEs, bills of material, ingest and licensing models, sizing assumptions, and high-level and low-level design documentation.
  • Develop and deliver technical proposals, whitepapers, presentations, demonstrations, workshops, reference architectures, and sales collateral.
  • Enable sales teams, post-sales architects, engineers, and partners through reusable architecture, lab and proof-of-concept environments, and technical mentoring.
  • Brief Iron Bow business units on Splunk and Cisco roadmaps, licensing and pricing models, support models, and customer impact.

Desired Qualifications

  • Relevant expert and vendor certifications are highly desired, including Splunk Enterprise Certified Architect, Splunk Certified Cybersecurity Defense Architect or Engineer, Splunk Enterprise Security Certified Admin, Splunk SOAR Certified Automation Developer, Splunk ITSI Certified Admin, Splunk O11y Cloud Certified Metrics User, Splunk Core Certified Consultant, CISSP, CCIE Security, and cloud certifications.
  • A record of planning and leading large SIEM or observability modernizations for business- or mission-critical environments, including classified or air-gapped deployments.
  • Ability to explain how architecture choices affect ingest cost, licensing, retention, detection coverage, and operations, and to turn security, mission, and operational requirements into practical Splunk designs.
  • Experience building reusable reference architectures, detection content libraries, migration playbooks, lab and proof-of-concept environments, and enablement programs.
  • A Top Secret security clearance is highly desired.

About the Company

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
Not listed

Recently Posted Jobs

Explore more opportunities at Iron Bow Technologies

See more jobs