Data Architect 2023 - Bengaluru, India - Bosch Group
Description
Company DescriptionBosch Global Software Technologies Private Ltd
Job Description:
- Architect complex big data platforms leveraging industry best-practices, cloud and opensource technologies, emerging computing and storage patterns and frameworks in large scale data storage and processing domain.
- Guide the Big data project development process through architecture decision making, reviews and assessments.
- Drive data requirement gathering exercises, workshops with customer stakeholders, help to shape and define requirement.
- Articulate complex big data technical solution in Big data to various stakeholders like development team, management, customer stakeholders, partners, and business team.
- Provide consultancy and advisory services on Big data, data strategy and data architecture topics to customers, departments, and projects
- Contribute to enterprise architecture by understanding business vision and objectives, translating them to data strategies and roadmaps. Evaluate top of technology trends and drive data governance practices.
- Demonstrate thought leadership in data architecture within Bosch and Global Venues
- Coach and Mentor Technical Specialists and Architects in data architecture stream
- Design and execute proof of concepts to validate technology or business concepts
Qualifications:
- Qualified with relevant Architecture methods (TOGAF, Zachman)
- Implementation experience of large scale big data, data warehouse and analytics platforms
- In dept knowledge of data lake, data warehouse, data integration and complex data processing technologies from Azure and/or AWS
AND/OR
b. AWS S3, Redshift, Glue, Athena, EMR, Data bricks
- Knowledge of opensource big data technologies like Spark, Hadoop, Storm, Casandra, HBase, Mongo DB, Jasper, and one or more ETL tools.
- Well versed with SQL, Python and any of the leading databases (SQL Server, MySQL, Oracle, PostgreSQL, MongoDB or Casandra)
- Expertise in two or more domains including IoT, i4.0/Smart manufacturing, connected products, smart energy or connected mobility
- Advanced analytical and design skills to study, comprehend and design complex data, data models and meta data to derive to right architecture principles and requirements
- Knowledge and awareness in industry standard architectures, emerging trends, and best practices in data architecture.
- Strong understanding of Data Governance, data quality and MLOps processes, methods and tools
Good working experience in Cloud and IoT topics
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