Cloud Data Architect

JobCubby; India; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Bosch Global Software Technologies Private Limited in India seeks an experienced Data Architect to design and implement enterprise-scale data platforms, including data lakes, lakehouse, and real-time processing solutions.

You will lead end-to-end cloud data initiatives across Azure, AWS, or GCP, ensuring alignment with governance and enterprise strategy. A strong foundation in SQL, Spark/Scala, BI tools, and multiple databases is essential.

Qualifications

• Minimum 7+ years of distributed data management and storage experience.
• Minimum 2+ years in end-to-end cloud data solutions implementation (Azure, AWS, or GCP).
• Experience designing enterprise data architecture including data lakes, lakehouse, and real-time processing.
• Hands-on experience with data modeling, DW and BI systems.

Responsibilities

• Architect enterprise-scale data platforms for large organizations.
• Design and implement data architecture aligning with best practices and strategy.
• Collaborate with engineers and IT teams to ensure architectural alignment with business needs.

Skills

Data modeling

SQL

Spark/Scala

Data analytics

Generative AI

Massively Parallel Processing

Education

BE/BTech/MTech

Tools

Databricks

Tableau

Power BI

PostgreSQL

MySQL

MongoDB

Cassandra

Talend

Informatica

Apache NiFi

Job description

Company Description

Bosch Global Software Technologies Private Limitedis 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.

Job Description

Key Responsibilities

• 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.

Preferred Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.Experience10+ 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.

Technical Expertise

• 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.

Certifications

• TOGAF or equivalent enterprise architecture certification.
• OEM Architect Certifications.
• Cloud Certifications (Azure, AWS, GCP).
• Additional SkillsExperience with cloud data warehouses such as Snowflake.
• Exposure on platforms like Cloudera.
• Experience with Massively Parallel Processing (MPP) systems.

Qualifications

• BE, BTech, MTech.
• Additional Information: Experience Range: 10 – 14 years

Additional Information

• Legal Entity: Bosch Global Software Technologies Private Limited