Senior Data Lakehouse Architect: Databricks & GenAI

D L Resources Pte Ltd; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

D L Resources is partnering with a leading banking-sector client to hire a Senior Data Lakehouse Architect. You will own the end-to-end architecture, define the technical vision, and guide the evolution of a corporate-grade Lakehouse platform across data products, marketplaces, semantic layers, and AI-enabled workloads.

You will design target architectures for scalable, secure, and efficient data platforms, working across on-prem, cloud, and hybrid environments while collaborating with security,

Qualifications

• 10–15 years of experience in enterprise Data Engineering, Big Data, Data Architecture, Data Lake, or Lakehouse implementations.
• Strong experience designing large-scale Data Lakehouse platforms in banking/regulated industries.
• Proven experience across leading data and cloud platforms such as Databricks, Snowflake, Cloudera, Azure, AWS, GCP, Huawei/Alibaba clouds.
• Experience designing distributed compute and MPP workloads across on-prem, hybrid, and cloud environments.
• Deep understanding of data architecture, governance, security, and performance optimization.

Responsibilities

• Own the end-to-end architecture and technical roadmap for the enterprise Data Lakehouse platform.
• Design and evolve platform capabilities: data products, data marketplace, knowledge layers, real-time processing, GenAI/RAG, vector/graph data services, agentic workloads.
• Define target architectures focusing on reusability, scalability, resilience, security, and efficiency.
• Develop reusable architecture patterns and accelerators for data extraction, batch/streaming, Lambda/event-driven, and RAG.
• Define data contracts, SLAs, data quality standards, and governance for enterprise data products.
• Provide architecture oversight to ensure compliance with security and delivery standards.
• Review designs and non-functional requirements from engineering teams; participate in evaluations and PoCs.
• Guide installation, integration, and operationalization of enterprise platforms; drive automation and standardization.

Skills

Data Lakehouse architecture

Large-scale data platforms

Distributed computing

Generative AI / RAG

Data governance

Security & DevSecOps

Performance optimization

Education

Bachelor’s degree in Computer Science, Engineering, Information Technology

Equivalent relevant professional experience

Tools

Databricks

Snowflake

Cloudera

Azure

AWS

Google Cloud Platform

Huawei Cloud

Alibaba Cloud

Neo4j

JanusGraph

TigerGraph

Job description

D L Resources is partnering with a leading banking-sector client to hire a Senior Data Lakehouse Architect. You will own the end-to-end architecture, define the technical vision, and guide the evolution of a corporate-grade Lakehouse platform across data products, marketplaces, semantic layers, and AI-enabled workloads.

You will design target architectures for scalable, secure, and efficient data platforms, working across on-prem, cloud, and hybrid environments while collaborating with security,