65097 Data Architect
Posted Updated 9
views
Summary
Designs the enterprise data lake and gives technical direction to data engineers, analysts, integration developers and DBAs; owns HLD documents and QA of architecture deliverables across Analyze-to-Deployment phases. Stack spans Hadoop/Spark big data, ETL/ELT (AWS Glue, Talend), SQL/NoSQL (MS SQL, DynamoDB), Azure/AWS, and data virtualization tools like Denodo.
Job Description
- Responsible for data lake design and providing technical direction to data engineer, data analysts, data integration developers and database administrators
- Provide input, monitor, and coordinate the project solution team across infrastructure, technical, and functional work streams
- Responsible for the quality assurance of all architecture and design deliverables (e.g. technical documents)
- Responsible in preparing High Level Design (HLD) document
- Manage and monitor the program activities from Analyze to Deployment Phase
- Manage, highlight and resolve any design integration risks/issues with relevant business and stakeholder
- Experience in Big Data management & processing using tools such as Hadoop, Spark
- Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Factory, Talend, EAI
- Experience in database query using SQL
- Experience in database and data warehousing with SQL, NoSQL & RDBMS such as MS SQL, AWS DynamoDB, etc.
- Experience in Cloud Full Stack Resources and Services (Azure, AWS)
- Have experience in Data Lake Architecture & Technology (i.e. Object Storage, Unstructured, etc.) and Data Virtualization (Denodo, Actifio, Atscale, Informatica, etc.)