Cloud Data Architect

Bosch Group
bengaluru, IN2026-04-15Full-time

About the job

Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 28,200+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.

Responsibilities

Architecture Design: Minimum 2+ years of experience in architecting enterprise-scale Data platforms for large organizations or business units; Expertise in Designing and defining enterprise data architecture solutions including data lakes, lakehouse, and real-time processing systems; Minimum 2+ years of experience in end-to-end cloud data solutions implementation (Azure, AWS, or GCP) as an Architect; Experience in ensuring alignment of architectural design with industry best practices and organizational strategy; Minimum 7+ years of experience in distributed data management and storage, covering relational databases, NoSQL systems, data analysis, processing, transformation, high availability, and scalability.

Data Modeling and Integration: Minimum 4+ years of hands-on experience in data modeling techniques, DW and business intelligence systems; Experience with data lakes, lakehouse, data warehouses, streaming platforms, NoSQL databases, and cloud environments; Proven expertise in designing and implementing solutions on both on-premise and cloud infrastructure; Strong proficiency in SQL, Spark/Scala, and data analytics.

Data Governance and Security: Well-versed in key data domains including Data Governance and security, Master Data Management (MDM), Data Quality, Data Cataloging, and Metadata Management; Experience in ensuring data compliance with global data privacy and protection regulations such as GDPR, CCPA, or equivalent.

Generative AI Exposure: Mandatory experience with Generative AI technologies and projects, including integration into enterprise solutions.

Collaboration and Stakeholder Engagement: Collaborate effectively with engineers, analysts, and IT teams to ensure architectural alignment with business needs; Translate complex technical concepts into actionable insights for both technical and non-technical stakeholders.

Qualifications

Minimum

Minimum 2+ years of experience in architecting enterprise-scale Data platforms for large organizations or business units; Expertise in Designing and defining enterprise data architecture solutions including data lakes, lakehouse, and real-time processing systems; Minimum 2+ years of experience in end-to-end cloud data solutions implementation (Azure, AWS, or GCP) as an Architect; Minimum 7+ years of experience in distributed data management and storage, covering relational databases, NoSQL systems, data analysis, processing, transformation, high availability, and scalability; Minimum 4+ years of hands-on experience in data modeling techniques, DW and business intelligence systems; Well-versed in key data domains including Data Governance and security, Master Data Management (MDM), Data Quality, Data Cataloging, and Metadata Management; Experience in ensuring data compliance with global data privacy and protection regulations such as GDPR, CCPA, or equivalent; Mandatory experience with Generative AI technologies and projects, including integration into enterprise solutions; BE/BTech,MCA

Preferred

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field; 10+ years of industry experience, with at least 2+ years focused on enterprise data architecture design; Minimum 2 years as a Data Architect, with proven experience in designing enterprise data solutions; Demonstrated success in delivering end-to-end solutions in large-scale enterprise environments; Proficiency in cloud platforms: AWS, Azure, GCP, Databricks; Expertise in both SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB, Cassandra; Hands-on experience with ETL tools: Talend, Informatica, Apache NiFi; Familiarity with data visualization tools: Tableau, Power BI; TOGAF or equivalent enterprise architecture certification; OEM Architect Certifications; Cloud Certifications (Azure, AWS, GCP); Experience with cloud data warehouses such as Snowflake; Exposure on platforms like Cloudera; Experience with Massively Parallel Processing (MPP) systems