Senior Data Architect

Alliance Bank Malaysia Berhad

Kuala Lumpur

On-site

MYR 300,000 - 420,000

Full time

43 hours ago
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Job summary

Alliance Bank Malaysia Berhad is seeking a Senior Data Architect to define and maintain enterprise-wide data architecture blueprints and governance. You will design scalable data platforms and partner with leadership to shape the data strategy.

You will mentor engineers, drive data mesh concepts, ensure regulatory compliance, and collaborate with business units to translate requirements into robust data solutions across cloud and on-prem environments.

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, SQL and NoSQL databases.
  • 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 and API-based/microservices architectures.

Responsibilities

  • 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 and hybrid environments.

Skills

Data architecture
Big data technologies
Cloud platforms
DevOps/DataOps
API/microservices
Stakeholder collaboration

Education

Bachelor’s or Master’s degree in Computer Science or Information Systems

Tools

Azure Synapse
Databricks
Snowflake
SQL
NoSQL
Kafka
Collibra
Purview

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
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