Cloud Data Architect

Bosch Global Software Technologies; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading global technology firm in Bengaluru is looking for a Mid-Senior Level Data Architect. Ideal candidates should have over 10 years of experience in designing cloud data solutions, implementing data architecture, and must possess expertise in Generative AI technologies. The role involves collaborating with teams to define enterprise data strategies and ensuring compliance with data governance. This full-time position requires a Bachelor's or Master's degree in a relevant field. Competitive salary and growth opportunities are available.

Qualifications

• Proven experience of 10+ years in data architecture and cloud solutions.
• Minimum 2 years of hands-on experience as a Data Architect.
• Strong proficiency in SQL, Spark/Scala, and data analytics.

Responsibilities

• Architect enterprise-scale data platforms for business units.
• Design and implement cloud data solutions ensuring compliance.
• Collaborate with teams to translate technical concepts into insights.

Skills

Cloud Data Solutions Implementation

Data Architecture Design

SQL Proficiency

Data Modeling

Generative AI Technologies

Stakeholder Engagement

Data Governance

Education

Bachelor's or Master's degree in Computer Science

Tools

AWS

Azure

GCP

Databricks

Talend

Tableau

Snowflake

Job description

Key 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.
• Infrastructure Design – Minimum 2+ years of experience in end‑to‑end cloud data solutions implementation (Azure, AWS, or GCP) as an architect. Experience 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, data warehouse 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 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

• Education – Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• Experience – 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.
• 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. Additional skills: experience with cloud data warehouses such as Snowflake, exposure to platforms like Cloudera, and experience with massively parallel processing (MPP) systems.
• Certifications – TOGAF or equivalent enterprise architecture certification, OEM Architect Certifications, Cloud Certifications (Azure, AWS, GCP).
• Experience Range – 10 – 14 years.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Information Technology, Strategy/Planning, and Product Management

Industries

• IT Services and IT Consulting, Information Services, and Data Infrastructure and Analytics

Note: This posting is for a position at Bosch Global Software Technologies that requires data architecture expertise and experience with cloud and generative AI technologies.