Description: Future Manufacturing Enterprise Team: The Future Manufacturing Enterprise Team is focused on strategic area of CASE Automotive Business (Connected Autonomous Shared & Electric Automotive Business).
Autonomous Vehicle Development technologies is the target for this job requirement within the CASE Automotive Business group.
Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
The aspirant must possess first hand big data establishment experience and be willing to operate in flat organization structure and across functional teams to leverage the best of capabilities available.
This role will join a team developing the next generation of autonomous driving solutions drawing on state of the art technologies including big data analytics, cloud, agile and automation, for solving business problems in the automotive and next-gen mobility industry.
Responsibilities: Architect and design big data storage and analytic solutions on Hadoop-based platform, create custom analytic and data mining algorithms to improve performance.
Responsible for architecture vision and design of next generation data infrastructure required for autonomous driving technologies and future programs.
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 platform 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.
Undertake solution response preparation, solution estimation and client presentations for client based opportunities.
Prepare white papers and participate in technology forums through blogs and speaker sessions.
Measurement Metrics for the role include successful deliverables of Assets & Solutions and successful Client Engagements Experience: Background in Information Technology in the Automotive industry.
Experience solving problems with big data, understanding data quality and data management.
Research experience in the areas of advanced data techniques, including data ingestion, data processing, data integration, data access, data visualization, text mining, data discovery, statistical methods, database design and implementation.
Qualifications: 5 years of automotive industry experience working at OEM / Tier 1 10 years as a big data architect in a large IT organization.
Strong experience with Hadoop, (HDFS), Spark, Kafka NoSQL, Cassandra, HBase, S3 protocol, ObjectStore and with 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 to drive 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