Your trusted source for top remote Big Data Architecture developers — Perfect for startups and enterprises.
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Vetted Big Data Architecture developer in the United States (UTC-6)
I have 20+ years in the technology industry and have serviced the financial, government, insurance, healthcare, energy, startup/technology, and retail sectors ranging from data architecture, software engineering, R&D, DevOps, management, strategic consulting, patented applications, and high-value revenue-generating applications & architecture. I hold patents in secured distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. I hold patents in secure distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. ● High-Performance Computing (HPC) ● Microservices Architecture ● Multi-Agent Distributed Computation ● Highly scalable Service Oriented Architectures (SOA) ● Predictive Big Data Analytics ● Consensus Algorithm Design ● High-Value Research & Development ● Cloud Architecture and Implementation ● DevOps and Security Penetration Testing ● System Virtualization and Containerization ● Data Center Relocations ● Security Audits ● Server Performance Management ● Capacity and Deployment Planning ● Management ● Storage Management ● Network Infrastructure Design and Implementation
Vetted Big Data Architecture developer in the United States (UTC-7)
Strong technology leader with hands-on experience scaling ventures and scaling engineering functions in large fortune companies. I have a strong background in software design, backend programming, distirbuted systems, machine learning, model-training, AI Agent development, big data engineering, cloud computing, and I also pioneered test-driven DevOps.
Vetted Big Data Architecture developer in the United States (UTC-4)
Experienced software engineer, architect, and leader: full-stack (backend focused) language agnostic machine learning / data enthusiast who thrives in collaborative environments As an experienced and engaged software engineer having a strong customer focus, I am an expert at breaking down and solving complex software problems across the full stack and multiple domains. I thrive on collaboration with my team, and take pride in my ability to clearly communicate with stakeholders and customers, while mentoring junior engineers and continuously improving team velocity. Because of my broad/deep full-stack experience with focus on backend (including machine learning and data pipelines), combined with my superpowers of building/growing teams and converting ambiguous user stories to design and actionable/scoped units of work (and then seeing those through to completion), I am able to make a resounding impact, starting on day one, in any organization. Specialties: Core System Software Design and Development; Microservice Architectures; Monitoring and Alerting; Big Data; Performance; Numeric Analysis; Data Analysis; Team Building and Mentorship; Software Development Lifecycle; Continuous integration and improvement.
Vetted Big Data Architecture developer in the United Kingdom
Specialises in cloud data & analytics platform architecture, modernisation and deployment. I work well with stakeholders to quickly establish requirements, discover data stores, map out strategies, and identify key insights for the business to leverage on. PRINCE 2 Practitioner, Agile Projects. All things Data!"
Vetted Big Data Architecture developer in the United States (UTC-5)
I am a seasoned Software Architecture professional with over 15 years of expertise in designing and implementing secure, cloudnative, and data-driven architectures. My technical expertise includes cloud-native architecture with a focus on DevOps, Kubernetes, event-driven systems, RESTful APIs, and GraphQL, as well as data architecture, encompassing data warehousing, data lakes, big data, IoT, data analytics, and data-intensive system integration. I am also skilled in advancing cloud cybersecurity to deliver robust and secure solutions. In addition to my technical background, I bring strong business acumen, with experience in marketing, sales, supply chain management, accounting, and finance. This unique blend of technical and business expertise allows me to design solutions that align with organizational objectives and drive business growth. I am also well-versed in Artificial Intelligence (AI), Machine Learning, and Data Science, leveraging these disciplines to create intelligent, scalable systems. As a critical problem solver, active listener, and technical leader, I excel in addressing complex challenges and thrive in creative environments that value innovation and collaboration.
Vetted Big Data Architecture developer in the United States (UTC-5)
● 15+ years Linux / Windows Server administration (IIS, Nginx, Active Directory & multiple Linux flavors) ● 15+ years MSSQL / MYSQL Database administration and BigData ● 15+ years Experience with Python, Pyspark [VB.NET](http://vb.net/), C#, SQL, R, Torch, Tensorflow, and Keras ● JavaScript/JQuery, and Multiple Trading-bot based languages (MQL etc) ● 5+ years of experience with golang and rust for concurrent api programming ● 5+ years of experience with serverless architecture deployment, security and monitoring (Splunk) ● Familiar with various source control systems (SVN, Git, etc.) ● Expert with containerization (docker, vagrant, helm, kubernetes) and virtual machines ● Extensive Knowledge in AI/ML, MLOps, VertexAI, and applied artificial intelligence models ● Extensive knowledge of project management platforms and managing large teams ● Automation and testing with multiple languages and frameworks ● Expert in payment processor integration (stripe, paypal, square, alipay etc) ● Experienced with Data-Science/Data-Engineering, and time-series forecasting methods ● Skilled with front end application of ReactJS, Angular and VueJS ● 5+ years experience with multiple Cloud Services like GCP (Google Cloud Platforms), Azure and AWS ● Experienced with Grid Computing
Vetted Big Data Architecture developer in Armenia (UTC+4)
I am an accomplished technical lead with more than 11 years of hands-on experience in designing, implementing, and overseeing backend systems. My expertise also extends to over 5 years of specialization in creating and implementing AWS cloud data engineering solutions. Throughout my career, I have consistently delivered successful data projects, optimized data pipelines, and maintained data quality and integrity. My skills include the design of scalable and efficient data architectures, making effective use of various AWS services, such as Cognito, S3, Kinesis, Lambda, Glue, Athena, Redshift, QuickSight, EventBridge, and CloudWatch. I have a strong track record in building and leading teams in a startup environment, contributing to the development of innovative products and solutions. My commitment to staying up-to-date with the latest industry trends and technologies ensures that I can provide the best solutions and leadership for any data engineering and backend system challenges.
Vetted Big Data Architecture developer in Italy (UTC+1)
Motivated and highly professional specialist with years of experience in Data Analysis and Architecture. Proven experience in the fields of Data Management, Analytics, DWH, BI, CRM, EPM and Credit Risk. Capable of undertaking different roles: PM, Business Analyst, Data Architect/Engineer/Analyst and Developer. Always interested in new challenges and in the acquisition of new skills and competencies.
Vetted Big Data Architecture developer in Spain (UTC+1)
I am an enthusiast of open source, always looking for new challenges. I’m a curious person that likes to code, learn and share. I am a team player who knows when to take the first step and when to take a step backward. I enjoy this era where data is king and the cloud made us conceive everything in the form of data-driven distributed systems. My last jobs were mostly related to AWS: Cloud-Native Development, Cloud Migration, DevOps and Product Development. I am interested in Machine Learning, Software Architecture. Here you can read a little about my career path.
Vetted Big Data Architecture developer in Colombia (UTC-5)
I have been building web applications for over 10 years now. I love building products that has huge impact on the ecosystem. I am able to develop an MVP driven by user needs. I am good at listening and taking care of details in order to achieve maximal performance from my team.
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Ready to hire your ideal Big Data Architecture developers?
Get startedIn today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Big Data Architecture developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Big Data Architecture developers can help keep your website up-to-date.
To hire a Big Data Architecture developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Big Data Architecture developers effectively and efficiently. Hire full-time Big Data Architecture developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Big Data Architecture developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Big Data Architecture developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Big Data Architecture developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Big Data Architecture developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Big Data Architecture developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Big Data Architecture developers, consider niche platforms like Arc that naturally attract and carefully vet their Big Data Architecture developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Big Data Architecture developers.
Some factors to consider when you hire Big Data Architecture developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Big Data Architecture developers for hire.
Writing a good Big Data Architecture developer job description is crucial in helping you hire Big Data Architecture developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Big Data Architecture developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Big Data Architecture developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Big Data Architecture developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Big Data Architecture developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Big Data Architecture developers to keep up with evolving technology and requirements.
You can find a variety of Big Data Architecture developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Big Data Architecture developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Big Data Architecture developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Big Data Architecture developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Big Data Architecture developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Big Data Architecture developers.
Every Big Data Architecture developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Big Data Architecture developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Big Data Architecture developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Big Data Architecture developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Big Data Architecture developers, you can rest assured that all remote Big Data Architecture developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Big Data Architecture developers before we present them to you. As such, all the remote Big Data Architecture developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Big Data Architecture developer in 72 hours, or find a full-time Big Data Architecture developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Big Data Architecture developers.
Depending on the freelance developer job board you use, freelance remote Big Data Architecture developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Big Data Architecture developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Big Data Architecture developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Big Data Architecture developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Big Data Architecture developers, check out our FAQs page.