Data Architect

Title: Data Architect - Data Convergence & Architecture
Key responsibilities of this role:
Track Record (Experience and Results) - Scale and Current Context:
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).
Technical Knowledge and Credentials (Must-Haves and Good-to-Haves):
Experience in Big Data management & processing using tools such as Hadoop, Spark
Experience in Data Transformation using ETL/ELT tools such as AWS Glue, Azure Data 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.).
Competencies (Skills and Abilities - Functional/Soft Skills) - Future Focused:
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.

JOB TYPE

Work Day: Full Time

Employment type: Permanent Job

Salary: Negotiable

JOB REQUIREMENTS

Minimal experience: Unspecified