Data Architect
• Customer/Products/Services data analysis & modelling
• Data migration approach
• Data ETL from the new stack into the BI stack
• Bring thought leadership in the design of the end-to-end analytics & insights data platform architecture.
Technical Skills:
• Data Architecture - Data Warehouse, Data Mart, ODS, ETL, reporting, analytics, master data management
• Data Modelling - 3NF, Dimensional, Star Schema
• Understanding of Telco BSS and OSS architectures and applications
• Good experience of multiple RDBMS at least including Teradata and Oracle
• Previous exposure to database scripting and programming languages at least including BTEQ, SQL*Plus and PL/SQL
• Experience with Informatica ETL
• Experience with Business Intelligence suites at least including Business Objects and MicroStrategy
• Understanding of data management applications such as Master Data Management
• Data pipeline integration: supporting millions/billions of daily transactions. Experience in stream event message technologies with exposure to messaging frameworks like Kafka or RabbitMQ
• Experience in Big Data, Data Analytics. Experience with Hadoop MapReduce, Spark, Pig, Hive, realtime data streaming and event monitoring, Data ingestion (sqoop, flume, streamsets & kafka), RT-analytic engine,
• Hadoop cloudera solution, spark streaming, spring cloud data flow, python coding for big data, Apache Ceode, Solr Elastic, store (HDFS, Kudu, No SQL Hbase)
• Knowledge of vendor products such as HPE Vertica, SAP Hana, ATOS CODEX
• Understand common integration services: REST API exposure
Soft Skills:
• Be your own customer – Customers are our lifeblood. Without happy customers, we’re doomed. So considering the customer perspective - collectively, not just a handful - comes first
• Creative thinking – Continuous improvement is a shared responsibility. Action is an independent one
• Possess a high EQ – To know your strengths and lean in to them and use them to your full advantage whilst being self-aware of your weaknesses and vices
• Opportunity recognition – Be adept to recognise and seize profitable business opportunities. Should be able to take calculated risks to pursue valuable opportunities that lead to achieving business goals
• Enduring Relationships – Work collaboratively to help us improve how we deliver what our stakeholders need, in a mindset characterized by co-creation and co-innovation
Qualifications:
• Bachelor’s degree in a technical field (i.e. Computing)
• Technical certifications especially in vendor products is highly advantageous (Strong integration, networking and security fundamentals)
• 10 to 15 years’ total work experience, with knowledge and experience in ICT, Telecom, and/or Tech. professional services - B2B sector(s) preferred
• Must have several years of data architect experience and have worked on large scale data migration programs.