Description

You will design and maintain comprehensive data architectures, including data models, flows, and governance policies.

Responsibilities

• Develop data models, data flows, and governance policies covering security, scalability, and latency.
• Design integration strategies to consolidate data from vehicle telematics, manufacturing systems, and customer interactions.
• Architect and manage data warehouses and data lakes for structured and unstructured data.
• Map CX journeys from authentication to checkout to create a 360-degree customer data model.
• Implement security measures to protect sensitive data and ensure compliance with GDPR and consent management.

Required Skills

• 5+ years of experience in data architecture and modeling (dimensional modeling, data vault).
• Proficiency in SQL and Python.
• Hands-on experience with AWS, Azure, or GCP in a cloud-native environment.
• Experience managing Data Lakes and Data Warehouses.
• Practical knowledge of data integration tools like Informatica or Talend.
• Experience with warehousing tools such as Snowflake or Redshift.
• Ability to architect data exchange across Enterprise, front-end, and Cloud layers.
• Skill in using Power BI for data visualization and stakeholder reporting.
• Understanding of data monetization strategies and user behavioral pattern analysis.

Preferred Skills

• Experience in the automotive industry or with IoT and real-time data processing.
• Knowledge of machine learning and AI applications.

Key Skills

Education

Any Graduate