- Lead and manage vendor Data Engineering and Architecture teams, including task allocation and resource planning.
- Serve as the primary owner of the Data Platform strategy and its roadmap.
- Oversee Data Platform reporting activities, including system go-lives, KPI tracking, usage insights, and FinOps monitoring.
- Act as the subject matter expert for the Data Platform ecosystem (Snowflake, AWS, Glue, etc.).
- Define and evolve long-term platform strategy in alignment with business and technology goals.
- Collaborate closely with Delivery and Operations Leads to address and prioritize business requirements.
- Own the DRM process and establish future Data Catalogue and data-modelling standards, ensuring robust data architecture practices.
- Strong data engineering (ETL) experience in cloud preferably in AWS.AWS Certification (developer/Devops/SA) preferred.
- Excellent understanding of distributed computing paradigm.
- Should have excellent experience in data warehouse and data lake implementation.
- Should have excellent experience in Relational databases, ETL design patterns and ETL development.
- Should have excellent experience in CICD frameworks and container based deployments.
- Should have excellent programming and SQL skills.
- Should have good exposure to No-SQL and Big Data technologies.
- Should have strong implementation experience in all the below technology areas (breadth) and deep technical expertise in some of the below technologies:
- Data integration/Engineering – ETL tools like Talend ETL, AWS Glue etc. Experience in Talend Cloud ETL will be plus.
- Datawarehouse - Snowflake and or AWS Redshift. Experience in Snowflake cloud DWH would be an advantage.
- Data modelling – Dimensional & transactional modelling using RDBMS, NO-SQL and Big Data technologies.
- Programming - Java/Python/Scala and SQL.
- Data visualization – Tools like Tableau, Quicksight.
- Master data management (MDM) – Concepts and experience in tools like Informatica & Talend MDM.
- Exposure to Big data – Hadoop eco-system, AWS EMR.
- Exposure to Big Data processing frameworks – Kinesis, Spark & Spark streaming
- Demonstrate strong analytical and problem solving capability
- Good understanding of the data eco-system, both current and future data trends.
- Should be a go to person for the above technologies
Top Skills
What We Do
At Nissan Motor Corporation, we are transforming how people live and drive — and we need passionate innovators to help us create a more sustainable future. As a global automotive leader, we take pride in enriching the lives of our employees and believe your passion, talent, and dedication are essential to our success. That’s why we provide career growth opportunities to help you move ahead, internal mobility so you can explore other career paths, and a healthy work-life balance so you always feel your best. In the spirit of “doing what others don’t dare to do,” we value your knowledge and life experience. We work to ensure all employees have a voice and always feel comfortable using it.
Join us on our journey into a future of possibility, and experience a career as exhilarating as the open road.
Why Work With Us
Nissan is a global company driven by the accomplishments of our employees. We find pride in our continued commitment to diversity and an exciting lineup of vehicles. Simply put, we are at the intersection of people, transportation, and the environment which keeps us at the forefront of innovation.
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