Data Architect

6 days ago

Kuala Lumpur, Malaysia Career Channel Full time

**Data Architect, KL**

Implement and design data architecture and ensuring optimal performance by monitoring and advising on infrastructure, products and implementation best practices.
To implement data management best practices and coordinate with the businesses to ensure information used is in compliance with the regulatory and security policies.

**SCOPE**
**Architecture**:
Execute Enterprise data initiatives / programs to establish a governed, curated, and agile data ecosystem that enables business to make data-driven decisions.
Translate strategic requirements into a usable Enterprise information architecture (e.g. enterprise data model, associated metamodel, common business vocabulary, and naming taxonomy, etc.).
Develop and maintain architecture artifacts, frameworks, and patterns as references for the development teams across the Group.

**Management (Regulatory & Compliance)**:
Monitor regulatory guidelines such as consumer privacy laws, data retention policies, outsourced data, and specific industry guidelines
Provide capability assessment tool on Data Management & Governance in all Dimensions of Data Management
Establish and monitor the operations of the data governance
Drive the implementation of corrective measures to ensure data governance policies and procedures
Publish data reference architecture, data architecture principles, best practices, and design patterns

**Qualification**:
Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis or a related
Min 5 years of experience architecting, designing and developing large scale data solutions utilizing a mixture of Big Data and Relational database platforms. Data/information modeling expertise at the enterprise level

**Skills Required**:
Hands on experience in Data Management Lifecycle, Data Modelling and Data Governance
Experience with Hadoop clusters, in memory processing, GPGPU processing and parallel distributed computing systems
Experience building data pipelines using Kafka, Flume, and accelerated Stream processing - Deep understanding of Apache Hadoop 1/2 and the Hadoop ecosystem. Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro).
Experience in designing NoSql, HDFS, Hive, HBASE datamarts and creating data lakes - Familiarity with one or more SQL-on-Hadoop technology (Hive, Pig, Impala, Spark SQL, Presto)
At least 10 years of experience with data warehouse design for RDBMS such as for Oracle, MS SQL, PostgreSQL and MySQL

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