The Bosch Group, founded in 1886, is a leading global supplier of technology and services for over 130 years. It employs roughly 420,000 associates worldwide (as of December 31, 2022). According to preliminary figures, the company generated sales of 88.4 billion euros in 2022. Its operations are divided into four business sectors: Mobility Solutions, Industrial Technology, Consumer Goods, and Energy and Building Technology. As a leading IoT provider, Bosch offers innovative solutions for smart homes, Industry 4.0, and connected mobility. Bosch is pursuing a vision of mobility that is sustainable, safe, and exciting. It uses its expertise in sensor technology, software, and services, as well as its own IoT cloud, to offer its customers connected, cross-domain solutions from a sole source. The Bosch Group’s strategic objective is to facilitate connected living with products and solutions that either contain artificial intelligence (AI) or have been developed or manufactured with its help. Bosch improves quality of life worldwide with products and services that are innovative and spark enthusiasm. In short, Bosch creates technology that is “Invented for life.” Read more about us at https://www.bosch.in/our-company/bosch-in-india/

Bosch Global Software Technologies Pvt Ltd (formerly known as Robert Bosch Engineering and Business Solutions) is a 100% owned subsidiary of Robert Bosch GmbH, one of the world’s leading global suppliers of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 25,000 associates, it is the largest software & technology center of Bosch, outside Germany, headquartered in India with a global footprint and presence in US, Europe, and the Asia Pacific region. BGST offers end-to-end solutions that connect sensors, software, and services to enable businesses to move from the traditional to digital or improve businesses by introducing a digital element in their products and processes.

As a pivotal member of our team, you will play a crucial role in shaping and maintaining our organization's data architecture strategy. Your responsibilities include:

• Crafting and upholding the organization's data architecture strategy, encompassing data models, data dictionaries, metadata repositories, and data governance frameworks.
• Designing and executing scalable, high-performance data storage and retrieval systems, such as databases, data warehouses, data lakes, and data marts.
• Establishing and enforcing data standards, best practices, and guidelines to ensure the consistency, quality, and security of our data assets.
• Creating and maintaining data models, schema definitions, and data mapping documents to facilitate data integration, analytics, and reporting initiatives.
• Evaluating and selecting data management tools, technologies, and platforms, and overseeing their seamless integration into our IT ecosystem.
• Implementing robust data security and privacy controls to safeguard sensitive information and ensure compliance with regulatory requirements, such as GDPR, HIPAA, and PCI-DSS.
• Collaborating closely with data engineers, data scientists, and other stakeholders to design and optimize data pipelines, ETL processes, and data workflows.
• Defining and implementing efficient data governance workflows and processes to ensure streamlined operations across the organization.
• Performance Tuning, Volume testing and Optimization to ensure High performance in the Querying.

Qualifications:

• Bachelor's degree in Engineering (BE) or Master's in Computer Applications (MCA) with 8 to 10 years of extensive industry experience in Implementation of large programs / projects.
• Demonstrated expertise as a Data and Analytics Architect, with a strong track record in data modeling and designing and implementing data architecture solutions for large-scale, real-time, high-performance systems, including Data Lake Houses, Data Lakes, Data Warehouses, and Databricks.
• Proficiency in business intelligence systems, including dimensional modeling, data mining, and predictive analytics, as well as familiarity with Data Lake Houses, Data Lakes, Data Warehouses, Streaming Platforms, and NoSQL databases.
• Deep understanding of data modeling principles, methodologies, and tools, coupled with experience in defining technology roadmaps and target architectures.
• Hands-on experience in end-to-end project implementation on Cloud platforms such as Azure, AWS, or GCP, serving as an Architect.
• Relevant certifications such as Certified Data Management Professional, AWS Certified Big Data – Specialty, Azure, etc., are highly desirable.
• Expertise in leveraging Gen AI architecture is considered a significant advantage

• Bachelor's degree in Engineering (BE) or Master's in Computer Applications (MCA)
• 8 to 10 years of extensive industry experience in Implementation of large programs / projects