Senior Data Architect

Alliance Bank Malaysia Berhad; Kuala Lumpur; On-site; MYR 180,000 - 360,000; Full time

Job summary

Alliance Bank Malaysia Berhad is seeking a Senior Data Architect to define and steward the bank's enterprise data landscape. You will shape blueprints, design scalable platforms, and set standards for data modeling, integration, storage, and access across the organization.

You will partner with executives to craft the data strategy, oversee governance, ensure regulatory compliance, and lead data pipelines from ingestion to consumption.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• 8-12+ years of experience in data management, architecture, or engineering.
• Strong knowledge of ETL/ELT processes and tools.
• Proficiency with SQL and NoSQL databases.
• Experience with big data technologies (Spark, Hadoop, Snowflake, Databricks).
• Hands-on experience with cloud data platforms (Azure Synapse, Databricks, Snowflake, BigQuery).
• Knowledge of data governance tools (Collibra, Purview, Alation).
• Familiarity with streaming platforms (Kafka, Event Hub).
• Experience with DevOps/DataOps practices.
• Understanding of API-based and microservices architectures.

Responsibilities

• Define and maintain enterprise-wide data architecture blueprints (logical, physical, conceptual).
• Design scalable data platforms including data lakes, warehouses, lakehouses, and streaming architectures.
• Establish standards for data modeling, integration, storage, and access.
• Develop data architecture aligned with cloud and hybrid environments.
• Partner with leadership to define data strategy, roadmap, and operating model.
• Establish and enforce data governance frameworks including data quality, metadata, lineage, and stewardship.
• Ensure compliance with regulatory requirements (e.g., PDPA, GDPR where applicable).
• Design and oversee data pipelines (batch and real-time).
• Define patterns for data ingestion, transformation, and orchestration.
• Architect data platforms that support BI, advanced analytics, and AI/ML workloads.
• Enable self-service analytics through governed data access.
• Collaborate with data scientists and analysts to optimize data usability.
• Evaluate data technologies, tools, and platforms.
• Champion modern architecture (data mesh, lakehouse, event-driven).
• Drive automation, scalability, and performance optimization.
• Collaborate with business, IT, and leadership to translate requirements into data solutions.
• Provide technical leadership and mentorship to data engineers and architects.
• Communicate architecture decisions and trade-offs effectively.

Skills

Data architecture

Data governance

Cloud data platforms

Leadership & collaboration

Stakeholder engagement

Education

Bachelor's or Master's degree in Computer Science, Information Systems, or related field

Tools

Spark

Hadoop

Snowflake

Databricks

SQL

NoSQL

Collibra

Purview

Alation

Kafka

Event Hub

Job description

• Define and maintain enterprise-wide data architecture blueprints (logical, physical, and conceptual models)
• Design scalable data platforms including data lakes, data warehouses, lakehouses, and streaming architectures
• Establish standards for data modeling, integration, storage, and access
• Develop data architecture aligned with cloud (Azure, AWS, GCP) and hybrid environments
• Partner with leadership to define data strategy, roadmap, and operating model
• Establish and enforce data governance frameworks including data quality, metadata, lineage, and stewardship
• Ensure compliance with regulatory requirements (e.g., PDPA, GDPR where applicable)
• Design and oversee data pipelines (batch and real-time)
• Define patterns for data ingestion, transformation, and orchestration

4. Analytics & AI Enablement

• Architect data platforms that support BI, advanced analytics, and AI/ML workloads
• Enable self-service analytics through governed data access
• Collaborate with data scientists and analysts to optimize data usability

5. Technology & Innovation

• Evaluate and recommend data technologies, tools, and platforms
• Champion modern architecture (e.g., data mesh, lakehouse, event-driven architecture)
• Drive automation, scalability, and performance optimization

6. Stakeholder Engagement

• Collaborate with business, IT, and leadership stakeholders to translate requirements into data solutions
• Provide technical leadership and mentorship to data engineers and architects
• Communicate architecture decisions and trade-offs effectively

Requirement

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field
• 8-12+ years of experience in data management, architecture, or engineering
• Strong knowledge of:
• ETL/ELT processes and tools
• SQL, NoSQL databases
• Big data technologies (e.g., Spark, Hadoop, Snowflake, Databricks)
• Hands-on experience with cloud data platforms (Azure Synapse, Databricks, Snowflake, BigQuery)
• Knowledge of data governance tools (e.g., Collibra, Purview, Alation)
• Familiarity with streaming platforms (Kafka, Event Hub)
• Experience with DevOps/DataOps practices
• Understanding of API-based and microservices architectures