Bosch Group: Data Architect With AI — bangalore, India
Bosch Group lists a Data Architect With AI opening in bangalore, India. The position is listed as full-time. The job description covers SQL, AWS, Azure, Google Cloud, CI/CD, Power BI, machine learning.
Recruitment overview
| Organisation | Bosch Group |
|---|---|
| Post / role | Data Architect With AI |
| Employment type | Full-time |
| Notification / job ID | REF298405L |
| Job location | bangalore, India |
| Work arrangement | On-site |
| Educational qualification | Degree / qualification: B.E/B |
| Experience required | Mid-Senior Level |
| Salary / stipend | See employer notice for pay details |
| Last date to apply | See official notice |
About Bosch Group
Bosch's India activities span mobility, industrial technology, consumer goods, and energy and building technology. Its employer description identifies engineering development, manufacturing and commercial operations within that range. The group operates through multiple Indian businesses, including activities in automotive systems, software and engineering, industrial technology and home appliances. This makes Bosch a collection of related technology businesses rather than a single product operation, with different entities serving different industrial and consumer applications.
The position and its setting
Bosch Group lists Data Architect With AI in bangalore, India, under reference REF298405L. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.
- Employment type: Full-time
- Employer listing date: 21 October 2026
- Contract type: Unlimited
- Legal Entity: Bosch Global Software Technologies Private Limited
- Brands: Bosch Group
Responsibilities and work described
- The ideal candidate will be responsible for translating business and technical requirements into robust enterprise data architecture and solution designs, defining data platforms, integration patterns, data models, governance frameworks, and analytics solutions
- The role will involve working closely with business stakeholders, data engineers, BI teams, application teams, and cloud/infrastructure teams to deliver scalable and cost-effective data solutions
- The Data Architect will provide technical leadership across batch and real-time data processing, Lakehouse/Data Warehouse architecture, data integration, data modeling, data governance, security, Power BI, and cloud data platforms
- Data Architecture & Solution Design
- Design: and define end-to-end enterprise data architectures using Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, Synapse, and related cloud services
- Translate business requirements into scalable, secure, and maintainable data architecture and solution designs
- Define architecture patterns for data ingestion, transformation, storage, processing, serving, analytics, and reporting
- Design: Lakehouse, Data Warehouse, and Medallion Architecture solutions based on business and technical requirements
- Design: and define AI/ML-ready data architectures to support Machine Learning, Generative AI, and advanced analytics use cases
- Define data architecture patterns for Generative AI, LLM, RAG, embeddings, and vector search solutions
- Evaluate and recommend appropriate technologies, platforms, and architectural patterns based on performance, scalability, security, availability, and cost
- Create architecture diagrams, data flow diagrams, solution designs, and technical documentation
- Design: secure and scalable integration of enterprise data platforms with AI/ML and Generative AI applications
- Integration: AI agents with APIs, databases, cloud services (AWS, Azure), and enterprise applications
- Good exposure to work on RFP’s, sales proposal, technical and estimate
- Microsoft Fabric & Databricks Architecture
Essential requirements and candidate background
- Understanding: data governance, security, metadata, lineage, and data quality
- Experience: cloud architecture, scalability, performance optimization, and cost management
- Good understanding of CI/CD, DevOps, Infrastructure as Code, monitoring, and deployment strategies
- B.E/B
- Tech/MCA/PhD or equivalent Qualification
- Experience:
- 12+ experienced Data Architect with expertise in Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Data Lake, SQL Data Warehouse, and modern cloud data platforms to define and implement scalable, secure, high-performance data architectures
- Mandatory/requires Skills:
- Integrate AI agents with APIs, databases, cloud services (AWS, Azure), and enterprise applications
Location, schedule and contract conditions
- Work arrangement: On-site
- Advertised location: bangalore, India
Conditions requiring the complete notice
Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.
Pay and application dates
A verified salary figure is not established in this article. An online estimate for another Data Architect With AI vacancy is not an offer for reference REF298405L; use the employer’s own pay disclosure and recruitment communication.
A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.
How to apply to Bosch Group
Applications follow the official employer page linked below.
Open the official Bosch Group posting below and match the title and reference REF298405L.
Compare your qualifications and experience with the essential conditions for the bangalore, India position, then read the preferred criteria separately.
Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.
Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.
Practical preparation: SQL
SQL references usually call for more detail than “database knowledge”. Explain the data you queried, the business or engineering question and how you checked that joins, aggregates and filters produced the intended result.
Relevant skills
- SQL
- Spark
- CI/CD
- AWS
- GCP
- Azure
- APIs
- AI/ML
- LLMs
- ISO
- Google Cloud
- Power BI
- machine learning
- AI
- sales
Important links
| Official notification / job description | Open official page |
|---|---|
| Online application portal | Open official page |
Read the complete official notice before applying. Availability and requirements can change.
For corrections, see our editorial policy and contact information.