Hiring Locations: Bangalore, Hyderabad, Chennai, Coimbatore, Mumbai, Pune, Noida, Gurugram, Indore and Kolkata.

Work Mode: Hybrid (location-specific office attendance policy applies).

Compensation: 4050 LPA.

Candidates based in any of the above locations are welcome to apply. Please mention your current location and preferred work location in your application.

Role & responsibilities

- Define enterprise data architecture and design scalable Data Lake/Lakehouse platforms.
- Architect contemporary data ingestion pipelines for batch, streaming, APIs and third-party data.
- Design Bronze, Silver and Gold data layers, enterprise data models and semantic layers.
- Lead Azure Databricks implementations using Python and PySpark.
- Design and enable Microsoft Fabric and Power BI solutions for analytics, reporting and business intelligence.
- Architect AI/ML and GenAI solutions, including RAG-based applications and Vector Database integrations where applicable.
- Define cloud-native architecture, infrastructure scalability, security, networking, storage and identity management.
- Establish data governance, metadata management, data lineage, data quality and cataloging frameworks.
- Drive DevOps/MLOps practices, CI/CD automation, monitoring and production deployment of data and AI solutions.
- Ensure high availability, disaster recovery, performance optimization, observability and cost efficiency.
- Partner with platform engineering, infrastructure, security and application teams to deliver resilient enterprise solutions.




- Engage senior business and technology stakeholders to translate business requirements into architecture roadmaps and implementation strategies.
- Ensure architecture alignment with enterprise governance, security and regulatory requirements.
- Leverage P&C; insurance domain knowledge to support insurance business transformation and AI-driven use cases.

Mandatory Technical Skills

- Microsoft Azure, Microsoft Fabric and Power BI.
- Azure Databricks, Python and PySpark.
- AI/ML and Generative AI (GenAI).
- Enterprise Data Architecture, Data Lake/Lakehouse and Data Modeling.
- Vector Databases and modern AI data architectures.
- DevOps/MLOps and CI/CD practices.
- Enterprise Solution Architecture and cloud platform design.
- Property & Casualty (P&C;) Insurance domain experience.

Preferred Qualifications

- 15-20 years of experience in enterprise technology, architecture and digital transformation.
- At least 5 years of leadership experience in cloud, data and AI initiatives at enterprise scale.
- Experience delivering enterprise-grade AI-enabled platforms in the insurance industry.
- Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or a related field.
- Relevant Azure, cloud architecture, TOGAF, Kubernetes or AI/ML certifications.
- Exposure to digital transformation, ERP platforms and software testing is an added advantage.

Ideal Candidate Profile A hands-on strategic architect who can bridge business strategy, enterprise architecture, data engineering, AI innovation and cloud infrastructure to deliver secure, scalable and production-ready enterprise solutions.

📌 Solution Architect (Bengaluru)
🏢 Ddai Tech
📍 Bengaluru