# Data Architect > Two95 International Inc. · Kuala Lumpur, Malaysia · Full-time · Posted 2022-03-09 **Workplace:** on_site **Department:** APAC ## Description SCOPE & AUTHORITY **Data 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. - Deliver tangible Data & AI solutions, Choosing the right technology, evaluating architecture evolution as well as being capable of creating and maintaining architecture using leading Data & AI technology frameworks - Participate in key transformational project design reviews as part of the methodology process to ensure application designs adhere to enterprise information architecture guidelines. - Monitor regulatory guidelines such as consumer privacy laws, data retention policies, outsourced data, and specific industry guidelines to determine impact on the enterprise information architecture. - Provide capability assessment tool on Data Management & Governance in all Dimensions of Data Management adhering to DMBOK V2. - Establish and monitor the operations of the data governance organization across the Group. - Drive the implementation of corrective measures to ensure data governance policies and procedures are followed. - Publish data reference architecture, data architecture principles, best practices, and design patterns to enable data engineering teams to build scalable and resilient platforms. - Exploring new technology trends and leveraging on it in order to simplify our data eco-system (e.g. development of architectures, strategies, and policies around data governance, including master data management, metadata management, data quality and data profiling). **Data Management (Regulatory & Compliance):** ## Requirements **Academic Qualification:** • Bachelor's degree in computer science, computer engineering, electrical engineering, systems analysis or a related field of study • Min 8 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 Space, NLTK **Skills Required:** • Requires advance knowledge of Big Data analysis and data management tools to be able to recommend and provide industry best practices. • You will drive end to end data solutions and data management strategy across data and analytics platforms. • Enterprise scale expertise in data analysis, modelling, data security, data warehousing, metadata management and data quality. • Extensive knowledge and experience in architecting modern data ingestion frameworks, highly scalable distributed systems using open source and emerging data architecture patterns. • Data/information modelling expertise at the enterprise level • Experience with Master Data Management, Metadata Management, and Data Quality tools, Data Security and Privacy methods and frameworks - 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). - Good knowledge of Elastic search and Solr - 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 – Can incorporate with above - Experience with Service Oriented Architecture (SOA), web services, enterprise data management, information security, applications development, and cloud-based architectures - Experience with enterprise data management technologies, including database platforms, ETL tools such as Talend/Pentaho (developing Spark ETL jobs), and SQL. - Experience in languages like Java, PHP, Python and/or R on Linux OS. – JavaScript, Scala and Windows OS - Experience in implementing machine-learning solutions, development in multiple languages and statistical analysis. He/she will also need to be familiar with a whole host of other approaches used in practical applications of machine learning. - Experience in AI Integration, Natural Language Processing and AI Application Programming - Experience with Telecommunications, IoT, Data visualization and GIS projects - Current hands-on implementation experience required - Database Administrator with big data project and TOGAF certification will be an advantage - Customer facing skills to represent Big Data Architectures well within the opco environments and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation. • Collaborate with Opco’s Analytics, data science and full stack team to ensure structured and unstructured data capturing and ingestion as per design requirements • Work with Axiata’s IT and security architects to ensure compliance with data security and privacy policy • Manage and lead end-to end data lifecycle management activities and ensure consistency/quality/availability between data management – More of Data Engineers role • Excellent communication skills and ability to convey complex topics through effective documentation as well as presentation. ## Apply [Apply at Two95 International Inc.](https://apply.workable.com/two95-international-inc-3/j/B259AC6706/apply) --- Powered by [Workable](https://www.workable.com)