Job Description

DATA ARCHITECTS (EMEA) - 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 revolutionize a $3 trillion dollar industry. We spearhead an industry-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. Predicts trends in the aerospace and government defense entities, predicts trends in political shifts and the ability to influence actual effect changes in government policies through innovation.

JOB DESCRIPTION:

The oversight places heavy emphasis upon innovation, architectural shift, built for a new era of data-driven decisions, predictive modeling, and modern data framework, so the data pipeline is used in collective efficient decision making. A team of two will scale our platform technology that powers BULLISHIER, growing data-maturity curve from BI REPORTING WITH MONOLITHIC SOFTWARE, leveraging our existing infrastructure to collect enormous volumes of data, modernizing 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). This is not about performance/bytes per second/milliseconds per latency. MANDATE 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 signature of workloads powered by machine learning base workloads, planning, and optimization engine. Powered by a global network of 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 centers to deliver new levels of simplicity, and allow 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 center, 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 center.

Areas to focus on failure and recovery: Handle different types of failures, simpler software upgrades, node failures, data reconstruction, rebalancing data, recovery from node failures into greater protection, sequential software updates, rebalancing, data evacuation, 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 include: Simplify clusters provisioning and testing clusters, data pipelines with multiple applications with various workload 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 authorized 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 modeling;
• Experience in using architectural designs and architecture practices to enable large, complex workloads.
• Extensive experience in simplified management, direct attached storage;
• Strong programming skills.
• Preferred: A degree in STEM.

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