Data Architect

About the Role:

As a Data Architect at [Electric Automotive Company], you will play a pivotal role in shaping the future of electric mobility. You will design and implement robust data solutions that power our critical business operations, from vehicle performance analytics to supply chain optimization.

Responsibilities:

1. Data Architecture: Develop and maintain a comprehensive data architecture, including data models, data flows, and data governance policies.
2. Data Integration: Design and implement data integration strategies to consolidate data from various sources, such as vehicle telematics, manufacturing systems, and customer interactions.
3. Data Warehousing and Data Lakes: Architect and manage data warehouses and data lakes to store and process large volumes of structured and unstructured data.
4. Data Governance: Establish and enforce data governance policies to ensure data quality, security, and compliance with industry standards.
5. Data Analytics: Collaborate with data scientists and analysts to enable advanced analytics and machine learning initiatives.
6. Cloud Technologies: Leverage cloud platforms (e.g., AWS, Azure, GCP) to build scalable and cost-effective data solutions.
7. Data Security and Privacy: Implement robust security measures to protect sensitive data and comply with relevant regulations.
8. Data Visualization: Work with data visualization tools to create insightful dashboards and reports for business stakeholders.
9. 360 Degree Customer Data Model: Ability to map CX journey with the data touchpoints and create a comprehensive data model.
10. Data Monetization: Experience or ability to help clients monetize data and understand user behavioral patterns.

Qualifications:

1. Strong understanding of data architecture principles, data modeling techniques, and data warehousing concepts.
2. Proficiency in SQL, Python, and other relevant programming languages.
3. Experience with data integration tools and data warehousing tools.
4. Knowledge of cloud platforms and cloud-native data technologies.
5. Familiarity with data governance frameworks and data security best practices.
6. Strong analytical and problem-solving skills.
7. Excellent communication and collaboration skills.
8. A passion for electric vehicles and a desire to contribute to a sustainable future.

Preferred Qualifications:

1. Experience in the automotive industry or a related field.
2. Knowledge of IoT technologies and real-time data processing.
3. Experience with machine learning and AI applications in the automotive domain.