Marketing Data Architect - Lev (Remote)
By Cognizant At , Indianapolis, 46220, In
Bachelor’s Degree in a related field or equivalent experience
5+ years of experience designing and working across multiple components of an enterprise marketing architecture.
Some experience with the Salesforce Marketing solutions (Marketing Cloud, Interaction studio, Datorama, CDP / Data Cloud).
Skilled at creating client-facing presentations to guide decisions and tell a story.
Will have full ownership of the marketing architecture, end to end.
Lead discovery, ideation, and design of the marketing architecture for global, multi-brand enterprises.

Are you looking for an opportunity to make an impact in the Big Data space? We are looking for a Big Data Architect to join our team and help us build the future of data-driven solutions. You will be responsible for designing, developing, and deploying data architectures that enable our customers to make the most of their data. If you have a passion for data and a drive to innovate, this is the job for you!

A Big Data Architect is responsible for designing, developing, and deploying big data solutions. They must have a deep understanding of the data architecture, data engineering, and data analytics processes. They must be able to design and implement data architectures that are scalable, secure, and cost-effective.

What is Big Data Architect Skills Required?

• Expertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases
• Knowledge of data warehousing and data integration tools
• Understanding of data security and privacy
• Ability to develop and optimize data pipelines
• Experience with cloud-based solutions
• Knowledge of software development and scripting languages
• Excellent problem-solving and communication skills

What is Big Data Architect Qualifications?

• Bachelor’s degree in computer science, engineering, or a related field
• 5+ years of experience in data architecture, engineering, or analytics
• Experience with big data technologies
• Knowledge of data warehousing and data integration tools
• Understanding of data security and privacy
• Ability to develop and optimize data pipelines

What is Big Data Architect Knowledge?

• Knowledge of software development and scripting languages
• Understanding of data modeling and data mining
• Knowledge of data warehousing and data integration tools
• Understanding of data security and privacy