Data Platform Architect job In Kuala Lumpur by Avanade

Job is expired

Define the technical platform strategy for enterprise data initiatives;
Responsible for the development of architecture blueprints, roadmaps, and reference architectures;
Architect Azure based big data engineering pipelines
Perform detailed analysis of business problems and technical environments and use this in designing the solution;
Benchmark systems, analyze system bottlenecks and propose solutions to eliminate them;
Clearly articulate pros and cons of various technologies and platforms;
Work with program and project managers in the design, planning and governance of implementing projects of any kind;
Provide high-level architectural expertise to sales, project and other analytics teams.
Support development of architectural products and deliverables for the enterprise and operational business lines.
Support development of strategy roadmap for the enterprise; including data modeling, implementation and data management for our enterprise data warehouse and advanced data analytics systems.
Build relationships with architects across the company and collaborate on promoting architectural best practices across the company.

Qualifications

Key Role Skill & Capability Requirements:

Experience architecting solutions for enterprise data lakes across data ingestion, stream processing, storage and analytics workloads using Azure services
Experience with Big Data modernization such as Hadoop to Azure and migration strategies for data platform modernization
Extensive exposure to architecting solutions with Azure data factory/ Talend, Azure SQL database/ synapse/ Snowflake, Data DevOps, Power BI, Powershell scripting, Python, Strong in SQL and PL/SQL, Azure databricks/ Spark, Hadoop
Extensive experience of providing architectural direction to project development teams
Proven experience in overall data management, data warehousing, data modelling, metadata management and data security
Client consulting and project-leadership experience
Able to explain complex technologies, architectural principles and concepts in non-technical language
Exceptional written and verbal communication and presentation skills
Experience partnering on analytics-related sales pursuits and effort estimation
Able to operate independently with little or no supervision
Good to have: Demonstrable professional experience in designing solutions for advance analytics, machine learning, with large scale, complex data sets

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