Data Architect

  • Full Time
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Company Description

Bosch Global Software Technologies Private Limited is a wholly-owned subsidiary of Robert Bosch GmbH, one of the leading global suppliers of technology and services in the world, providing comprehensive Engineering, IT, and Business Solutions. With over 22,700 associates, it is the largest software development center of Bosch outside Germany, serving as Bosch's Technology Powerhouse in India with a global footprint and presence in the US, Europe, and the Asia Pacific region.

Job Description

  • Work with cross-functional teams to understand business requirements and translate them into data architecture solutions.
  • Implement data integration solutions to gather and merge data from various sources.
  • Design and create scalable and efficient data models, whilst evaluating and choosing appropriate data storage and processing technologies for big data applications.
  • Collaborate with business stakeholders, data engineers, and data scientists to ensure data is readily accessible for advanced analytics and machine learning applications.
  • Establish data governance and security policies to ensure data integrity and compliance with regulatory requirements, whilst facilitating seamless data availability and sharing to meet business objectives.
  • Optimise and fine-tune data architectures for performance, reliability, and scalability.
  • Create and maintain documentation for data architecture and data flows.
  • Keep up to date with industry trends and emerging technologies in big data and data management.

Qualifications

  • Bachelor's or master’s degree in Computer Science, Information Technology, or a related field.
  • Significant industry experience (10+ years) as a Data Architect with a focus on big data solutions
  • Extensive knowledge of data modeling, database design, and data storage concepts.
  • Proficiency in working with big data technologies such as Hadoop, Spark, Kafka, SQL and NoSQL databases (e.g., Cassandra, MongoDB).
  • Expertise in Data Lake and Databricks
  • Expertise in data integration, ETL processes, and data pipeline development.
  • Proficiency with cloud-based data platforms (e.g., AWS, Azure, GCP).
  • Excellent problem-solving and communication skills.
  • Ability to work collaboratively in a cross-functional team environment.
  • Strong analytical and strategic thinking skills.
  • Expertise in data governance and security is highly advantageous.

Additional Information

  • Proven industry experience (10+ years) in Data Architecture with a focus on big data solutions