Hire the Top 2% of
Remote Big Data Architecture Developers
Your trusted source for top remote Big Data Architecture developers — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
$0 until you hire6,566 top Big Data Architecture developers available to hire:
Vetted Big Data Architecture developer in Brazil (UTC-3)
Passionate self-learner since 13, I embarked on my journey in software development creating game hacks using Assembly, C and a lot of reverse engineering. Over the past 7+ years, I've worked on backend focused roles, building IoT and data-driven projects, team management, embedded systems, leading development teams and contributing to fastpaced startups. My expertise lies in building microservices, event-driven architectures, and data-intensive, performant and scalable software solutions. I am addicted to bug hunting and creating fault-tolerant code, aiming to become a software architect and IoT expert
Vetted Big Data Architecture developer in the United States (UTC-5)
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-4)
Dynamic software architect & leader with a proven track record of impact in enterprise, startup, and deep tech teams. Skilled in building high-availability solutions and core AI tech from edge to distributed systems. 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 customer, 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.
Amazon
Big Data Architecture developer in the United States (UTC-7)
I'm a web application developer with about a decade of experience. Most of this has been with Python and Django. I can help with any part of the web application stack from JavaScript to the SQL database, but my area of expertise is back-end development. I have multiple rates; mentoring requires more scheduling and is more stressful, so for-hire projects will cost less per hour than mentoring. I also have a "Do Your Homework" rate of $75/hr with a minimum of 1 hour. Code Portfolios: [https://github.com/georgedorn](https://github.com/georgedorn) [https://gitlab.com/u/georgedorn](https://gitlab.com/u/georgedorn) (Slowly moving new projects to gitlab). Notable projects: Tastypie (REST API builder for Django) [https://github.com/django-tastypie/django-tastypie](https://github.com/django-tastypie/django-tastypie) Magellan (Personal search engine / spider, for Django and Elasticsearch) [https://gitlab.com/georgedorn/django-magellan/tree/master](https://gitlab.com/georgedorn/django-magellan/tree/master)
Vetted Big Data Architecture developer in Colombia (UTC-5)
● Software Engineer with more than 10 years of experience working with different methodologies and development technologies for diverse companies. Experience working on-site, from home and multi location teams using agile processes (kanban and scrum) with a small adventure in the Netherlands. Currently, looking for opportunities. Advanced English level written and spoken. ● Expert in the technical, conceptual and content development of enterprise applications in business, presentation and services layers during planning, analysis, implementation and testing project steps of software development life cycle. In the last few years, I have worked primarily on Java backend and cloud integration projects oriented to microservices. However, I have nice experience in front-end/fullstack areas as well and I can adapt very easily to work on any environments or any technologies. ● Experience in Java versions (7, 8, 9, 11, 14) and Java based languages like Scala, Groovy and Kotlin. Strong knowledge in Spring/SpringBoot (data, integration, beans, core, boot) and JavaEE (JPA, EJB, JSF, JSP, Rest, Servlet, JAX-WS, JAX-RS, Guice). Widely use of frameworks like Hibernate (annotations/xml), Kafka, Redis, ElasticSearch, Quartz, IReport, EHCache, Redis and some libraries for web development like Vaadin, PrimeFaces and RichFaces. ● Certified as AWS Developer with high experience in several services (S3, EC2, EMR, DynamoDB, Lambda Cloud Formation, RDS, AutoScaling, DNS, Athena and others) and great exposure to Google Cloud as well. ● Great knowledge and development in the front-end stack primarily with AngularJS, TypeScript, HTML, CSS, JavaScript, JSON, JQuery and a bit of ReactJS. Also, some interaction with Android java based development on some projects with features like push notification, maps, and APIs consuming. ● Skills related to integration, unit and automated tests in technologies like Junit, TestNG, Cucumber, JBehave, SoapUI, Mockito and Apache JMeter. Also, working with CI/CD processes with tools like Jenkins, Gitlab, Kibana and others. Experience working with Ruby and Groovy integration tests. ● Use of different SGBD providers: Oracle, MSSQL, PostgreSQL, DB2, Teradata, MySQL, HDBSQL and MongoDB NoSql database (Certified Developer). On the other hand, great expertise with PL/SQL and PL/pgSQL for procedures and functions maintenance.
Big Data Architecture developer in the United States (UTC-5)
Professional Software Engineer with a focus on Java & Python & Node.js, AI/NLP/LLMs, React, TypeScript, Restful API, and AWS among other technologies, dedicated to both backend (70%) and frontend (30%) development. Strong experience with SQL and NoSQL databases including MongoDB and GraphQL Experience developing Restful APIs using Java, Spring Boot for a web application with over 1 million users per month Possesses profound knowledge in AI/NLP technologies, experienced in working with Large Language Models (LLMs) such as GPTX, Gemini, LlaMa X, Mixtral, Falcon and Claude, utilizing popular frameworks to build advanced AI platforms with Python and Node.js. Deep understanding of the Retrieval Augmented Generation (RAG) model and vector databases, including Pinecone and Chroma, leveraging LlaMa Index, LangChain, LangGraph and LangSmith. Practiced in building the infrastructure for CI/CD with tools like Jenkins, Docker, and Kubernetes. Experienced with AWS tools including Lambda, S3 bucket, DynamoDB, SQS, EC2, EKS, and Cloud Front, Code Build, among others.
IBM
Big Data Architecture developer in the United States (UTC-5)
I have over 20 years of experience in data-driven engineering, specializing in cloud platforms like Google Cloud. I excel in developing AI models and optimizing business processes for various industries.
Big Data Architecture developer in the United States (UTC-5)
• Professional Software Engineer with extensive experience in Restful Api, graphQL, java, kotlin, node microservices etc, and more backend • Strong experience with SQL and NoSQL databases including MongoDB and GraphQL. • Strong knowledge with BigData, Apache spark and Scala. • Experience Developing RESTful APIs using Java, Spring Boot for a web application with over 1 million users per month. • Proven ability to design, build, and maintain efficient and scalable systems. Passionate about developing maintainable code, using the latest technologies, and working in a collaborative environment. • Experience Building the infrastructure for CI/CD with Jenkins, Docker, Kubernetes. • Experienced in AWS(lambda, DynamoDB, SQS, EC2, EKS, Cloud Build) and GCP(GKE, GCP functions, etc)
Vetted Big Data Architecture developer in Brazil (UTC-3)
Seasoned professional with over 5 years of experience delivering cloud-based data solutions. Currently serving as a Senior Data Engineer and System Integration Lead, I excel in orchestrating complex data migrations and designing efficient data models and pipelines to drive business success. Proven track record of working remotely with international teams, leveraging asynchronous communication to effectively collaborate and manage projects across time zones. Skilled in communication, planning, documentation, and liaising between stakeholders to ensure seamless project execution.
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.
Discover more freelance Big Data Architecture developers today
Why choose Arc to hire Big Data Architecture developers
Access vetted talent
Meet Big Data Architecture developers who are fully vetted for domain expertise and English fluency.
View matches in seconds
Stop reviewing 100s of resumes. View Big Data Architecture developers instantly with HireAI.
Save with global hires
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Get real human support
Feel confident hiring Big Data Architecture developers with hands-on help from our team of expert recruiters.
Why clients hire Big Data Architecture developers with Arc
How to use Arc
1. Tell us your needs
Share with us your goals, budget, job details, and location preferences.
2. Meet top Big Data Architecture developers
Connect directly with your best matches, fully vetted and highly responsive.
- 3. Hire Big Data Architecture developers
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Hire Top Remote
Big Data Architecture developers
in the world
Arc talent
around the world
Arc Big Data Architecture developers
in the world
Ready to hire your ideal Big Data Architecture developers?
Get startedTop remote software developers are just a few clicks away
Arc offers pre-vetted remote software developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Find and hire software developers by role / expertise
Find and hire software engineers by skills
Build your team of Big Data Architecture developers anywhere
Arc helps you build your team with our network of full-time and freelance Big Data Architecture developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
FAQs
Why hire a Big Data Architecture developer?
In 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.
How do I hire Big Data Architecture developers?
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.
Where do I hire the best remote Big Data Architecture developers?
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.
How do I write a Big Data Architecture developer job description?
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.
What skills should I look for in a Big Data Architecture developer?
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.
What kinds of Big Data Architecture developers are available for hire through Arc?
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.
Why is Arc the best choice for hiring Big Data Architecture developers?
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.
How does Arc vet a Big Data Architecture developer's skills?
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.
How long does it take to find Big Data Architecture developers on Arc?
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.
How much does a freelance Big Data Architecture developer charge per hour?
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.
How much does it cost to hire a full time Big Data Architecture developer?
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.