Data Lakehouse Architect

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

OPTIMUM SOLUTIONS (SINGAPORE) PTE LTD is seeking an experienced Data Lakehouse Architect with 10-15 years of hands-on data architecture and engineering expertise to lead enterprise Lakehouse modernization initiatives.

You will own the end-to-end architecture, design data products and AI workloads, and partner with business teams to define data contracts and data quality standards across multi-cloud platforms.

Qualifications

• 10-15 years in Data Architecture / Data Engineering, preferably in FSI.
• Hands-on design of enterprise Data Lakehouse platforms.
• Expertise with Databricks, Snowflake, Cloudera and major cloud stacks.

Responsibilities

• Own end-to-end architecture and technical vision for the Lakehouse.
• Design data products, data marketplace, knowledge layers, AI workloads.
• Define scalable, secure, reusable target architectures.
• Develop roadmaps, frameworks, reusable patterns for new data capabilities.
• Design solutions using Databricks, Snowflake, Cloudera, Azure, AWS or GCP.
• Architect RAG, Vector DB, Graph DB, embeddings, and agentic workloads.
• Partner with business to define data contracts, SLAs and data quality.
• Review specs and ensure delivery adheres to enterprise standards.
• Lead performance engineering, optimization, and production readiness.
• Collaborate with business, technology, vendors and distributed teams.

Skills

Data Architecture

Data Engineering

Databricks

Snowflake

Cloud Platforms

Kubernetes

CI/CD

Data Governance

Tools

Databricks

Snowflake

Cloudera

Azure

AWS

GCP

Terraform

Kubernetes/OpenShift

Job description

We are looking for an experienced Data Lakehouse Architect with 10-15 years of experience, preferably within the Financial Services / Banking (FSI) domain, to lead enterprise-scale Lakehouse architecture and modernization initiatives.

Responsibilities

• Own the end-to-end architecture and technical vision for the enterprise Lakehouse platform.
• Design data products, data marketplace, knowledge layers, and agentic AI workloads.
• Define target architecture with focus on scalability, security, reusability, and performance.
• Develop roadmaps, frameworks, and reusable architecture patterns for new data capabilities.
• Design solutions using Databricks, Snowflake, Cloudera, Azure, AWS, or GCP.
• Architect RAG, Vector DB, Graph DB, embeddings, and agentic AI workloads.
• Partner with business teams to define data contracts, SLAs, and data quality standards.
• Review technical/design specifications and ensure delivery follows enterprise standards.
• Lead performance engineering, optimization, continuous improvement, and production readiness.
• Collaborate with business, technology, vendors, and distributed engineering teams to deliver strategic solutions.

Requirements

• 10-15 years of experience in Data Architecture / Data Engineering, preferably in FSI.
• Strong hands-on experience designing enterprise Data Lakehouse platforms.
• Expertise in Databricks, Snowflake, Cloudera, Azure, AWS, or GCP.
• Strong knowledge of Iceberg, Hudi, Delta Lake, Object Storage, and Data Federation.
• Experience with Trino, Denodo, Dremio, Hive, Impala, and distributed compute platforms.
• Strong understanding of RAG, Vector DB, Graph DB, embeddings, and agentic workloads.
• Experience with Kafka, Flink, Spark Streaming, APIs, real-time data, and event-driven architectures.
• Strong knowledge of Terraform, Kubernetes/OpenShift, CI/CD, Git, Jenkins, and DevOps tools.
• Excellent understanding of data modeling, governance, metadata, data quality, and data products.