Description

Lead the architecture and implementation of large-scale, multi-organizational data warehousing solutions. Own the full lifecycle from design to deployment in complex, heterogeneous environments.

Responsibilities

• Design and deploy large-scale web application architectures and complex deployment environments.
• Implement multi-organizational data warehousing solutions using ETL, Machine Learning, and Data APIs.
• Manage data migration from on-premises systems into cloud-based services.
• Document product life cycle artifacts, including functional requirements, business cases, and technical specifications.
• Coordinate project schedules, milestones, and deliverables while communicating technical decisions to stakeholders.

Required Skills

• 15+ years of experience as an Enterprise or Solutions Architect.
• 5+ years of experience in data modelling.
• 5+ years of experience programming in SQL with RDBMS such as Oracle, Netezza, or Teradata.
• 5+ years of experience with enterprise-grade ETL/ELT tools like Talend, Informatica, or Oracle Data Integrator.
• 5+ years of experience integrating heterogeneous systems into a data warehouse.
• 5+ years of experience in data preparation and cleansing for warehousing.
• Expertise in data classifications, data access, and security protocols.
• Ability to manage project charters, test plans, and communication plans.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate