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Solution Architect Big Data Jobs in Arkansas

Bhjob15656_20166 - Head Architect - Big Data Asic
By Myticas Consulting At United States
Be able to understand both internal and external customer requirements and translate them into technical solutions
At least 8 years of experience and a proven track record of optimally delivering many complex RTL designs targeting large FPGAs/ASICs
Expertise in VHDL/Verilog or similar with additional coding experience in C, C++ or similar low-level languages
Strong communication, presentation and collaboration skills to lead a global team and leverage resources from the industry and academy
Be able to lead the architecture design of new computing infrastructure and ASIC chips for data-intensive application
Be able to generate insights from the industry and academic trends of big data analytics, and propose technical strategy and roadmap

Are you looking for an opportunity to use your expertise in Big Data to help create innovative solutions? We are looking for a Solution Architect with a passion for Big Data to join our team and help us develop and implement cutting-edge solutions. As a Solution Architect, you will be responsible for designing and developing solutions that meet customer needs and business objectives. You will also be responsible for leading the development of data architectures, data models, and data pipelines. If you have a passion for Big Data and a desire to create innovative solutions, this is the perfect opportunity for you!

Overview:

Solution Architect Big Data is a professional who designs, develops, and implements data-driven solutions to meet the needs of an organization. They are responsible for understanding the business requirements, developing the architecture, and designing the data solutions that will meet those needs. They must also be able to communicate the design to stakeholders and ensure that the solution is implemented correctly.

Detailed Job Description:

Solution Architect Big Data is responsible for designing and developing data-driven solutions to meet the needs of an organization. They must be able to understand the business requirements, develop the architecture, and design the data solutions that will meet those needs. They must also be able to communicate the design to stakeholders and ensure that the solution is implemented correctly. They must be able to work with a variety of stakeholders, including business users, IT personnel, and other technical staff. They must also be able to work with a variety of technologies, including databases, data warehouses, and big data solutions.

What is Solution Architect Big Data Job Skills Required?

• Knowledge of data architecture, data modeling, and data warehousing
• Knowledge of big data technologies, such as Hadoop, Spark, and NoSQL
• Ability to design and develop data-driven solutions
• Ability to communicate complex technical concepts to non-technical stakeholders
• Ability to work with a variety of stakeholders and technologies
• Ability to troubleshoot and debug data solutions
• Ability to work independently and as part of a team

What is Solution Architect Big Data Job Qualifications?

• Bachelor’s degree in Computer Science, Information Systems, or a related field
• 5+ years of experience in data architecture, data modeling, and data warehousing
• 3+ years of experience with big data technologies, such as Hadoop, Spark, and NoSQL
• Experience with data visualization tools, such as Tableau and Power BI
• Experience with cloud-based solutions, such as AWS and Azure
• Experience with scripting languages, such as Python and R

What is Solution Architect Big Data Job Knowledge?

• Knowledge of data architecture, data modeling, and data warehousing
• Knowledge of big data technologies, such as Hadoop, Spark, and NoSQL
• Knowledge of data visualization tools, such as Tableau and Power BI
• Knowledge of cloud-based solutions, such as AWS and Azure
• Knowledge of scripting languages, such as Python and R

What is Solution Architect Big Data Job Experience?

• 5+ years of experience in data architecture, data modeling, and