Data Lakehouse Architect

Innova Digital Solutions Pte Ltd; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

Innova Digital Solutions Pte Ltd seeks a seasoned Data Lakehouse Architect to lead the design and implementation of a scalable lakehouse platform. You will drive end-to-end architecture for data products, data marketplace, and knowledge layer, enabling agentic workloads to run efficiently in a cloud environment with Databricks, Snowflake, and other platforms.

The role requires extensive experience in data engineering and architecture, strong collaboration with tech teams, and a commitment to

Qualifications

• 10–12 years of experience in data architecture and engineering with a focus on data lakehouses.
• Strong expertise in Databricks, Snowflake, Cloudera, and cloud platforms (AWS/Azure/Google Cloud).
• Proficient in SQL and programming languages such as Python or Scala.

Responsibilities

• Own end-to-end architecture of the lakehouse platform and data products.
• Design data marketplace, knowledge layer and agentic workloads to run from the lakehouse.
• Ensure quality assurance of team deliveries per bank-defined software delivery methodology.
• Partner with other technology functions to deliver required technology solutions.
• Create technical roadmaps and target architectures emphasizing scalability and security.
• Develop frameworks enabling rapid operationalisation of new patterns and data contracts and SLAs.
• Review designs, install/integrate software packages, and participate in tool selection via RFP/POC.
• Drive performance engineering, tuning and continuous service/process improvements.

Skills

Excellent communication

Team collaboration

Problem solving

Tools

Databricks

Snowflake

Cloudera

AWS

Azure

Google Cloud

SQL

Python

Scala

Spark

Hadoop

Airflow

Apache NiFi

Job description

Role: Data Lakehouse Architect

Job Level: > 10 years of relevant experience (L4)

Duration: 12 Months

De ion

We are seeking a seasoned Data Lakehouse Architect to lead the design and implementation of our data architecture leveraging technologies such as Databricks, Snowflake, and other cloud platforms. The ideal candidate will have a robust background in data engineering and architecture, ensuring that our data solutions are scalable, efficient, and secure.

Responsibilities

• You will be responsible for the end-to-end architecture of the lakehouse platform.
• This includes the design and implementation of data products, data marketplace, knowledge layer and enabling agentic workloads to run out of the lakehouse platform.
• You will also be responsible for quality assurance of the team's delivery in conformance with the Bank-defined software delivery methodology and tools.
• You will partner with other technology functions to help deliver required technology solutions.

• Other responsibilities include:
• Provide technical vision and create roadmaps for the lakehouse platform
• Create the target architecture for an application / set of applications with emphasis on platforms, reusability, scalability and security
• Create frameworks, technical features which helps in faster operationalisation of new patterns such as unstructured content extraction, lambda architecture deployment patterns, retrieval-augmented data patterns, agentic workloads etc
• Effectively partner with business users to design data contracts, SLA, data quality rules for data products
• Independently install, customise and integrate software packages and programs
• Participate in selection of product/tools via RFP/POC.
• Create technical documents (functional/non-functional specification, design specification, training manual) for the solutions. Review design specifications created by development team
• Performance engineering and tuning
• Execute continuous service improvement and process improvement plans

Skills and Qualifications

• 10-12 years of experience in data architecture and engineering with a focus on data lakehouses.
• Strong expertise in Databricks, Snowflake, Cloudera, and cloud platforms such as AWS, Azure, Google Cloud.
• Proficient in SQL and programming languages such as Python or Scala.
• Experience with data modeling, ETL processes, and data warehousing solutions.
• Familiarity with big data technologies (e.g., Spark, Hadoop) and data orchestration tools (e.g., Airflow, Apache NiFi).
• Understanding of data governance, security, and compliance frameworks.
• Excellent communication skills and ability to work collaboratively in a team environment.