Solution Architect (Data Platform)

Epergne Solutions; Singapore; On-site; SGD 150,000 - 230,000; Full time

Job summary

Epergne Solutions is seeking a Senior Solution Architect (Data Platform) in Singapore to drive end-to-end data architecture across medallion layers, semantic models, and analytics platforms.

You will define data models, governance, and deployment patterns for scalable data warehouses and lakehouses, while collaborating across teams on AWS, Databricks, and Snowflake implementations, including MLOps readiness.

Qualifications

• Bachelor’s degree in CS, Engineering, or related field.
• 8+ years experience in data/solution architecture.
• Strong experience with medallion data architectures, semantic layers, and data warehouses/lakehouses.
• Hands-on with AWS and platforms like Databricks or Snowflake.
• Experience in data governance, schema design, and automated data quality controls.

Responsibilities

• Design end-to-end data architecture including bronze/silver/gold layers, semantic models, and analytics layers.
• Define data models, contracts, governance frameworks, and schema standards.
• Lead data warehouse and lakehouse architecture design decisions.
• Design scalable data ingestion frameworks for IoT, telemetry, logs, and media data.
• Enable secure data access for dashboards, APIs, analytics, and AI/ML apps.
• Support MLOps and GenAI-readiness with scalable architecture.
• Collaborate with tech teams on interfaces and architecture docs.
• Document key decisions, trade-offs, and implementation guidelines.

Skills

Data architecture

Solution architecture

Medallion architecture

Semantic layers

Data governance

AI/ML-ready data

Education

Bachelor’s degree in Computer Science/Engineering

Tools

Databricks

Snowflake

AWS

Job description

Job Role:-Solution Architect (Data Platform)

Experience:- 8+ Years

Seniority Level:-Senior Consultant

Job Location:- Singapore

Roles & Responsibilities:-

• Design end-to-end data architecture, including medallion (bronze/silver/gold), semantic, and analytics layers.
• Define data models, data contracts, governance frameworks, and schema standards.
• Lead data warehouse and lakehouse architecture design decisions.
• Design scalable data ingestion frameworks for IoT, telemetry, system logs, and image/video data.
• Enable secure data access for dashboards, APIs, analytics, and AI/ML applications.
• Support AI/ML readiness, MLOps, and future GenAI use cases through scalable architecture.
• Collaborate with technical teams on interface specifications and architecture documentation.
• Document key architectural decisions, trade-offs, and implementation guidelines.

Skills & Requirements:-

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience in data architecture or solution architecture.
• Strong experience designing medallion data architectures, semantic layers, and data warehouses/lakehouses.
• Hands-on experience with AWS and platforms such as Databricks or Snowflake.
• Experience with data governance, schema design, and automated data quality controls.
• Experience designing large-scale enterprise data platforms.
• Familiarity with IoT, telemetry, system logs, and image/video data ingestion.
• Knowledge of AI/ML-ready data architectures, MLOps, or GenAI-enabled data platforms is an advantage.