Big Data Architect for Autonomous Driving Solutions

3 weeks ago


Dearborn, Michigan, United States TEPHRA Full time
Job Title: Big Data Architect for Autonomous Driving Solutions

Job Summary:
TEPHRA is seeking a highly skilled Big Data Architect to join our Future Manufacturing Enterprise Team. As a key member of our team, you will play a crucial role in the development of autonomous driving software solutions. Your expertise in big data systems, underlying data, and data products will be instrumental in shaping the future of our automotive business.

Responsibilities:
• Design and develop big data storage and analytic solutions on Hadoop-based platforms
• Create custom analytic and data mining algorithms to improve performance
• Establish standards and guidelines for the design, development, tuning, deployment, and maintenance of information, advanced data analytics, ML/DL, data access frameworks, and physical data persistence technologies
• Define new data infrastructure platforms to capture vehicle data
• Research and develop new data management solutions, approaches, and techniques for data privacy and data security, and advanced data analytics systems

Requirements:
• 5 years of experience in the automotive industry, with a strong background in information technology
• 10 years of experience as a big data architect in a large IT organization
• Strong experience with Hadoop, Spark, Kafka, NoSQL, Cassandra, HBase, S3 protocol, ObjectStore, and processing large data stores
• Strong capability in researching, evaluating, and implementing new and improved data solutions for multi-national enterprises
• Experience with the design and development of multiple object-oriented systems
• Strong track record of driving rapid prototyping and design for Big Data
• TOGAF Enterprise Architecture or equivalent
• Expertise with Cloud vendors like Azure or AWS
• Data storage petabyte scale architectures
• Knowledge of data privacy and security w.r.t. country-specific laws
• BS or MS in computer science, engineering, or a related field

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