Cloud Data Architect

Bosch; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Bosch Global Software Technologies Private Limited in Bengaluru seeks an experienced Data Architect to design and govern enterprise data platforms across on-premise and cloud environments. The role emphasizes scalability, data lakes/lakehouse, and BI integration to support business analytics.

The ideal candidate brings 10+ years in data architecture, strong SQL and Spark/Scala skills, and hands-on experience with Databricks, Snowflake, and data governance.

Qualifications

• 10+ years of industry experience in enterprise data architecture.
• Experience with both on-premise and cloud data solutions.
• Hands-on experience with data lakes, lakehouse, data warehouses, and BI tooling.

Responsibilities

• Architect enterprise data platforms with focus on scalability and governance.
• Lead end-to-end cloud data solutions on AWS/Azure/GCP.
• Collaborate with engineers, analysts, and business stakeholders.

Skills

Data architecture

Cloud data platforms

SQL

Spark/Scala

NoSQL databases

Data modeling

ETL tools

Data governance

Generative AI

Stakeholder communication

Education

BE/BTech

MCA

Tools

Databricks

Tableau

Power BI

Talend/Informatica

Apache NiFi

Snowflake

PostgreSQL

MongoDB

Cassandra

Job description

Company Description

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.

Job Description

Key Responsibilities Architecture DesignMinimum 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 IntegrationMinimum 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 SecurityWell-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 ExposureMandatory experience with Generative AI technologies and projects, including integration into enterprise. solutions. Collaboration and Stakeholder EngagementCollaborate 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 QualificationsEducationBachelor'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 ExpertiseProficiency 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.CertificationsTOGAF 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. QualificationsBE, BTech, MTechAdditional InformationExperience Range: 10 - 14 years

Qualifications

BE/BTech,MCA

Additional Information

10 - 14Yrs