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Data Architect

3 months ago

Bengaluru, Karnataka, India Bosch Group Full time
Job DescriptionAs 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

QualificationsBachelor'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