Role: Data Platform Architect - (Lakehouse, DBT, Kubernetes)
Work Mode: Remote
Shift: UK Shift
We are looking for an experienced Data Platform Architect to lead the architecture and evolution of a modern, scalable Data Lakehouse ecosystem. This is a senior-level architecture role for professionals with solid experience in Data Lakehouse architecture, modern data platforms and open-source technologies, with the ability to define technical standards, drive architectural decisions and provide technical direction to engineering teams.

Key Responsibilities
- Lead the architecture, design and modernization of enterprise-scale Data Lakehouse platforms.
- Define architecture across storage, compute, open-table formats, orchestration and data processing.
- Design decoupled and interoperable data platforms using open-source technologies while minimizing vendor lock-in.
- Establish standards for data pipelines, data modeling, CI/CD, coding practices and technical documentation.
- Design and oversee data governance, security, auditability and data quality frameworks.




- Drive platform performance, scalability, reliability and cost optimization.
- Conduct architecture and code reviews and provide technical guidance to senior engineering teams.
- Maintain Architectural Decision Records and communicate technical roadmaps, trade-offs and architectural decisions to senior stakeholders.

Required Skills & Experience
- 13+ years of experience in Data Engineering, Data Architecture or Data Platform Architecture.
- 8+ years of experience in Data Architecture or Data Platform Architecture.
- 7+ years of experience in DBT and Kubernetes K8
- Robust, hands-on experience designing, migrating or modernizing Data Lakehouse platforms in production environments.
- Strong experience with Databricks and/or Snowflake, particularly from an architecture and platform perspective.
- Strong hands-on experience with dbt Core for data transformation and modeling.
- Strong knowledge of Apache Iceberg and

📌 Data Platform Architect (Indore)
🏢 Three Across
📍 Indore