Embitel Technologies
Architecture & Scaling Expert
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
20 September 2026
What they need
e are looking for an experienced Architecture & Scaling Expert / Principal Architect to define the target architecture and establish the foundation for scaling an enterprise engineering platform.
The role will be responsible for designing scalable, secure and reliable architectures across cloud platforms, data platforms, APIs, applications and distributed engineering ecosystems. The candidate should have strong experience in enterprise architecture, cloud architecture, platform architecture, integration architecture and large-scale platform design.
Key Responsibilities
- Define and evolve the target enterprise and platform architecture.
- Design scalable architectures for enterprise platforms and distributed applications.
- Establish platform operating models, integration patterns and deployment strategies.
- Define architecture standards covering scalability, security, reliability, observability and cost optimization.
- Design Databricks and Azure platform architectures.
- Establish API, data and deployment contracts across multiple repositories and teams.
- Define data-contract and cross-repository governance standards.
- Design multi-environment and multi-application deployment strategies.
- Define identity, access and data-governance architecture.
- Establish technical governance and architecture standards across teams.
- Identify and address distributed-system and cross-repository dependencies.
- Define disaster-recovery, reliability and operational standards.
- Work across engineering teams to establish shared architecture and platform standards.
Mandatory Skills
- 8+ years of architecture responsibility
- Enterprise Architecture
- Cloud Architecture
- Platform Architecture
- Integration Architecture
- Platform Operating Models
- Scalability / Distributed Systems
- Security Architecture
- Technical Governance
- Azure Architecture
- Databricks Architecture
- Data Contracts
- Cross-Repository Governance
- Observability & Reliability Architecture
- Cost Architecture / Cost Optimization
- Multi-environment Deployment Strategy
- Multi-application Deployment Strategy
- Identity & Access Management
- Data Governance
Good to Have
- Databricks Architecture
- AI Platform Architecture
- Multi-tenant Platform Architecture
- Automotive Engineering Ecosystem
- AI-enabled Engineering Workflows
- Automotive Test & Validation Ecosystem
- Robot Framework Architecture
- Databricks Apps
- Databricks Asset Bundles
- Unity Catalog
- Lakeflow
- LLM / Model Serving
- Vector Search
- MLflow
Domain Experience
Experience in one or more of the following would be valuable:
- Enterprise IT Architecture
- Platform Scaling Strategies
- Automotive Engineering Platforms
- Automotive Test & Validation
- AI-enabled Engineering Workflows
- Data & AI Platforms
- Failure-analysis / diagnostic platforms
Key Deliverables
- Define target architecture connecting engineering platforms, failure-analysis pipelines, diagnostic agents, dashboards and shared Databricks data products.
- Establish stable API, data and deployment contracts across teams and repositories.
- Define standards for scaling, observability, security, cost and disaster recovery.
- Identify and reduce risks arising from shared tables, deployment resources and cross-repository dependencies.
Ideal Candidate Profile
We are looking for a hands-on Enterprise / Cloud / Platform Architect or Principal Engineer who has successfully designed and scaled enterprise platforms and can work across architecture, cloud, data, security, integration and platform engineering.
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