Data Architect With AI
Bosch Group
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Job summary
Bosch Global Software Technologies Private Limited in Bengaluru seeks a seasoned Data Architect with 12+ years of experience to define scalable enterprise data architectures using Microsoft Fabric, Azure Databricks, and Azure Data Lake services. You will shape data platforms, governance, and analytics solutions across BI, ML, and cloud-native environments.
The role emphasizes AI-ready data models, Lakehouse patterns, and cross-team collaboration to deliver high-performance, secure data
Qualifications
- 12+ years of experience as a Data Architect.
- Experience defining end-to-end enterprise data architectures using Fabric, Databricks, and Azure services.
- Ability to translate business needs into scalable, secure data solutions.
- Strong knowledge of data governance, security, and metadata management.
- Proven track record with AI/ML data architectures and lakehouse patterns.
Responsibilities
- Design and define enterprise data architectures using Microsoft Fabric, Azure Databricks, and related cloud services.
- Translate business requirements into scalable, secure data designs.
- Define patterns for data ingestion, transformation, storage, processing, serving, analytics, and reporting.
- Design Lakehouse, Data Warehouse, and Medallion architectures based on requirements.
- Create architecture diagrams and technical documentation for stakeholders.
- Lead data integration architectures with various data origins (DBs, APIs, SaaS, Dynamics 365).
- Ensure security, governance, and cost optimization across platforms.
- Collaborate with BI, data engineers, and cloud/infrastructure teams.
Skills
Education
Tools
Job description
- Legal Entity: Bosch Global Software Technologies Private Limited
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 27,000+ 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.
We are seeking a 12+ experienced Data Architect with strong 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.
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.
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.
Integrate AI agents with APIs, databases, cloud services (AWS, Azure), and enterprise applications.
Good exposure to work on RFP’s, sales proposal, technical and estimate.
Define enterprise architecture using Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflows, Power BI, and related Fabric capabilities.
Design scalable Azure Databricks and Delta Lake architectures for large-scale data processing and analytics.
Define Bronze, Silver, and Gold data-layer strategies and standards.
Design Databricks solutions using Apache Spark, Structured Streaming, Delta Lake, Unity Catalog, and optimized data processing patterns.
Define standards for partitioning, file sizes, schema evolution, incremental processing, data retention, and performance optimization.
Guide teams in optimizing Databricks workloads for performance and cloud cost efficiency.
Design data integration architectures for data originating from databases, APIs, files, SaaS applications, Dynamics 365, and streaming sources.
Define appropriate batch, micro-batch, and real-time/streaming ingestion patterns.
Establish ETL/ELT patterns using ADF, Fabric Data Factory, Databricks, and other cloud-native services.
Define frameworks for incremental loads, CDC, SCD Type 1/Type 2, reconciliation, error handling, and data recovery.
Design reusable and scalable data ingestion frameworks.
Define conceptual, logical, and physical data models based on business requirements.
Design dimensional models, star schemas, fact and dimension tables, and analytical data models.
Define enterprise data standards, naming conventions, data domains, and master/reference data structures.
Design models optimized for Power BI, analytics, reporting, and downstream applications.
Define strategies for managing historical data, slowly changing dimensions, data retention, and archival.
Define enterprise data governance and security architecture across the data platform.
Implement and govern Microsoft Purview, Unity Catalog, RBAC, data classification, lineage, auditing, and access-control strategies.
Define security patterns for row-level security, column-level security, masking, encryption, secrets management, and secure data access.
Establish data ownership, data stewardship, metadata, lineage, and data quality standards.
Define architecture strategies to support high-volume and high-performance data workloads.
Identify and resolve architectural bottlenecks across ingestion, storage, transformation, database, and reporting layers.
Optimize Databricks/Spark, Delta Lake, Fabric, SQL, and Power BI workloads.
Define appropriate compute sizing, workload isolation, partitioning, caching, indexing, and optimization strategies.
Perform capacity planning, scalability assessment, and cost optimization for cloud data platforms.
Design cloud-based data solutions primarily on Microsoft Azure, with knowledge of AWS/GCP data platforms.
Define integration patterns across Azure, AWS, APIs, SaaS applications, and on-premises systems.
Evaluate new technologies and recommend solutions based on business requirements and architectural standards.
Define cloud architecture covering availability, scalability, networking, security, disaster recovery, and operational support.
Strong understanding of data governance, security, metadata, lineage, and data quality.
Experience with 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
12+ experienced Data Architect with strong 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.
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.
Integrate AI agents with APIs, databases, cloud services (AWS, Azure), and enterprise applications.
Good exposure to work on RFP’s, sales proposal, technical and estimate.
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