Lead Solutions Architect Remote - US

Profile

Description

The Lead Solutions Architect works with user groups to solve business problems with available technology including hardware, software, databases, and peripherals. The Lead Solutions Architect works on problems of diverse scope and complexity ranging from moderate to substantial.

Responsibilities

We are a high performing team and love working with motivated people who like to take on big challenges in Enterprise Logging and Monitoring. We are seeking a senior splunk architect to add to our growing team.

The lead solutions architect should focus on the creation of complex detection and alerting logic and log source on-boarding. Must operate and maintain the Splunk log management infrastructure and leverage knowledge on a number of security technologies, information security, and networking and comprehensive experience in interacting with clients. Develop advanced reports to meet the requirements of key stakeholders and scalable security management tools and processes. Conduct research in areas, including security principles, host and network-based security technologies, machine learning algorithms, and mitigation methods. Engineer, configure, and deploy Enterprise SIEM/SEM and log management solutions for Enterprise logging and monitoring, develop automation for monitoring tools management, and create customized searches and applications using programming and development expertise, including Java, Python, Shell scripting, and regular expression. Automate deployment, integration, and testing of enterprise system and services and create and optimize Big Data correlations as a Splunk search language (SPL)


Develops blueprints for all enterprise monitoring and logging needs, evaluating hardware and software platforms, and integrating systems.
Translates business needs into long-term data architecture solutions. Defines, designs and builds dimensional database schemas.
Evaluates reusability of current data for separate analyses. Conducts data sheering to rid the system of old, unused or duplicate data.
Reviews object and data models and the metadata repository to structure the data for better management and quicker access.
Understands department, segment, and organizational strategy and operating objectives, including their linkages to related areas.
Makes decisions regarding own work methods, occasionally in ambiguous situations, and requires minimal direction and receives guidance where needed.
Follows established guidelines/procedures


Required Qualifications


Bachelors Degree in Computer Science, Information Technology or related field
8 years of progressive information technology experience directly related to architecture/engineering, information security, or other specialized technology field
5 years of experience as a senior software engineer and architect for large IT projects
4 years of experience with SPLUNK, network security, and system security, supporting security event management tools (SIEMs)
1 years of experience with SPLUNK CLOUD or SPLUNK in Cloud
4 years of enterprise logging, with a focus on security event logging
Experience with implementation and architecture of Splunk Enterprise in large deployments of Fortune 100 enterprises preferably with Splunk Cloud
Experience with one or more of the following programming languages ( Java, JavaScript, Python, Spark)
Knowledge of, and experience in Agile Scrum methodology as well as software development lifecycles in general
Experience authoring reference architectures and other engineering documentation
Experience with working in a large enterprise environment
Experience with integrating solutions in a multi-vendor environment, including SaaS environments
Understanding of JSON and RESTful service architectures.
Prior project architect and/or Lead Software Engineer experience
Experience delivering and deploying cloud native data solutions on one of the public cloud providers such GCP, Azure or AWS
Splunk Architect certification and Splunk Consultant - preferred


Preferred Qualifications


Azure or other big data certifications
Experience with complex technical environments
Experience in Process Automation, Machine Learning and Artificial Intelligence
Experience or knowledge of Product-oriented Design, Agile and DevOps methodologies


Additional Information:

Will report to the Director, Problem, Incident and Event Management, IT Ops - IT Service Operations

Scheduled Weekly Hours

40

Company info

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