DATA ARCHITECTS – AEROSPACE AND DEFENSE:

DATA ARCHITECTS - AEROSPACE AND DEFENSE:

Bullisher is a data centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. We spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility.

JOB DESCRIPTION:

The oversight places heavy emphasis upon innovation, architectural shift, built for a new era of data driven decisions, predictive modeling, modern data framework, so the data pipeline is used in collective efficient decision making. A team of two, moving to scale our platform the technology that powers BULLISHIER , growing data-maturity curve from BI REPORTING WITH MONOLITHIC SOFTWARE which leverage our existing infrastructure to collect enormous volumes of data, modernising our data platforms and removing bottlenecks to produce better outcomes for analytics and data pipeline workflows.

Areas to cover will include: Quantum cloud-native disaggregated architecture, machine learning and deep learning algorithms, AI, modern analytics, streaming data pipelines. Areas where matters require attention: As applications are rearchitected or created from scratch. This is not about performance/bytes per second/milliseconds per latency.

METHODS TO IMPROVE: Agility for the engineers - ultimately Building these data pipelines is a software engineering exercise. It matters how quickly you can iterate, improve, and deploy these data pipelines. Areas to cover will include: Hybrid Multi-Architecture, object transformation, file-system and object storage, containers and Automation, disaggregation (separately manage infrastructure, applications and storage).

BULLISHIER traditional analytics engine has a collective signatures of workloads powered by a machine learning base workloads, planning and optimization engine. Powered by a global networks of telemetry data, from the telemetry data we are able to proactively detect issues, model future applications performance and improvements. Ensure our processes adhere to standards for secure systems design in conformity to the NIST SP 800-160.

With applications running, transformation and applications on their own in multiple private data centres to deliver new levels of simplicity, and allows engineers and developers to do things they simply couldn’t do before by building and supporting internal and external data pipelines for complex data-based systems to the vast ecosystem of data pipeline tools.

Areas to focus attention: The ability to move workloads back and forth, cost performance with simplicity factors appropriate for each application. In the data centre, we'll have heavy transformations and processing with the training and machine learning, in production Pipelines you'll deploy that tested code to the data centre.

Areas to focus on Failure and recovery: As you Handle different types of failures, simpler software upgrades, node failures, data reconstruction, rebalancing data, recovery from nodes failures into greater protection, sequential software updates, rebalancing, data evacuation, digital twin and rehydration cycle will undergo a formal approval, review and voted by representatives for Security impact analysis, THE C.A.B. (CHANGE APPROVAL BOARD).

Areas to cover includes: Simplify clusters provisioning and testing clusters, Data pipelines with multiple applications with various workloads types working together: We are a startup enhancing the FORMATION TO THE EARLY STAGES OF A PRODUCT DEVELOPMENT PROJECT.

ENVIRONMENT: This position will operate in the following areas of the organization regulatory engineering division: MULTI-DOMAIN DEFENCE DOCK:

MULTIDOMAIN DEFENCE DOCK: Standard engineering lab environment.

Employees must be legally authorised to work in the UK. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.

QUALIFICATION, KEY REQUIREMENTS AND SKILLS SET:

• 10+ years of solid experience in Data architecture and disaggregate modelling.
• Experience in using architectural designs, architecture practices to enable large, complex workloads.
• Extensive experience in Simplified management, direct attached storage.
• Strong programming skills.
• Preferred: A degree in STEM .
• Information Systems Security Engineering Professional (ISSEP)
• Certified Information Systems Security Professional (CISSP)
• Certified Cloud Security Professional (CCSP)
• Information assurance system architecture and engineer (IASAE)
• It’s a prerequisite to be certified in one of the listed DoD 8570 Certifications.

INTERVIEW PROCESS:

• STAGE 1: COGNITIVE ABILITY TEST
• STAGE 2: COGNITIVE ASSESSMENT SCREENING: WITH A 30+ YEARS EXPERIENCE PSYCHOLOGIST:
• STAGE 3: PRE-SCREENING (verification checks & security clearance)
• STAGE 4: INTERVIEW WITH THE: CEO, CTO & GC