Inherent Technologies
Data Architect with expertise EBX and MDM
Inherent Technologies, San Jose, California, United States, 95199
Data Architect with expertise EBX and MDM
Join to apply for the Data Architect with expertise EBX and MDM role at Inherent Technologies. Position: Data Architect Location: San Jose, CA Day 1 Onsite Duration: 1 Year Must work EST hours. Education - very important Education Requirements
Only BTech in Computer Science degree is allowed. Or B.E. in Computer Science. The degree has to be 4 years, and with a major – Computer Science. Core Responsibilities
Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes. Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools). Develop comprehensive cloud data strategies in alignment with business goals. Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing. Maintain detailed documentation of data architecture, design decisions, and processes. Actively contribute to the hands‑on implementation of cloud data solutions. Proactively identify and implement performance optimization strategies for cloud data systems. Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility. Required Qualifications
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Minimum of 5 years of hands‑on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks). Proven track record of successfully designing and implementing cloud-based data solutions in Azure. Deep understanding of data modeling concepts and techniques. Strong proficiency with database systems (relational and non‑relational). Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software. Preferred Qualifications
Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake). Expertise in big data technologies (e.g., Hadoop, Spark). Strong understanding of data security and governance principles. Experience in scripting languages (Python, SQL). Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Engineering and Information Technology
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Join to apply for the Data Architect with expertise EBX and MDM role at Inherent Technologies. Position: Data Architect Location: San Jose, CA Day 1 Onsite Duration: 1 Year Must work EST hours. Education - very important Education Requirements
Only BTech in Computer Science degree is allowed. Or B.E. in Computer Science. The degree has to be 4 years, and with a major – Computer Science. Core Responsibilities
Design and implement secure, scalable cloud-based data pipelines, data warehouses, and data lakes. Drive the selection and integration of cloud data services (e.g., storage, databases, analytics tools). Develop comprehensive cloud data strategies in alignment with business goals. Produce clear and informative visual diagrams (e.g., data flow diagrams, entity-relationship diagrams, system architecture diagrams) to guide implementation and knowledge sharing. Maintain detailed documentation of data architecture, design decisions, and processes. Actively contribute to the hands‑on implementation of cloud data solutions. Proactively identify and implement performance optimization strategies for cloud data systems. Troubleshoot and resolve issues related to data pipelines, data quality, and data accessibility. Required Qualifications
Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field. Minimum of 5 years of hands‑on data engineering experience using distributed computing approaches (Spark, Map Reduce, DataBricks). Proven track record of successfully designing and implementing cloud-based data solutions in Azure. Deep understanding of data modeling concepts and techniques. Strong proficiency with database systems (relational and non‑relational). Exceptional diagramming skills with tools like Visio, Lucidchart, or other data visualization software. Preferred Qualifications
Advanced knowledge of cloud-specific data services (e.g., DataBricks, Azure Data Lake). Expertise in big data technologies (e.g., Hadoop, Spark). Strong understanding of data security and governance principles. Experience in scripting languages (Python, SQL). Seniority level
Mid‑Senior level Employment type
Full‑time Job function
Engineering and Information Technology
#J-18808-Ljbffr