- Lead a technical team in designing and implementing an enterprise data warehouse solution, ensuring integration across different data management frameworks.
- Oversee the development of conceptual and physical data models, data flow diagrams, and enterprise data management frameworks.
- Facilitate the creation and optimization of dashboards and reports using Oracle Analytics Cloud (OAC) and Microsoft Power BI.
- Guide the development, testing, and implementation of ETL jobs/scripts using Oracle Data Integrator (ODI) for efficient data processing.
- Drive the design, documentation, and implementation of robust data management strategies, including data governance, security, and compliance.
- Provide performance tuning, database administration, and data modeling leadership to ensure optimal database and reporting performance.
- Communicate effectively with business stakeholders to understand requirements and translate them into data-driven solutions.
- Mentor and guide team members to adhere to industry standards and best practices, fostering a culture of continuous improvement.
- Bachelor's degree in computer science, information systems, engineering or related field (Master's preferred).
- Minimum of 10 years of experience in enterprise data warehousing and data frameworks.
- Proven experience leading teams in data management, data architecture, and business intelligence projects.
- Expertise in designing enterprise-wide data solutions and presenting them to clients.
- Strong understanding of Kimball Dimensional Data Modeling Framework.
- Familiarity with data governance, data security, and privacy regulations.
- Excellent communication, collaboration, and facilitation skills.
- Proven leadership skills with the ability to motivate and manage technical teams.
- Experience with or at least in-depth knowledge of
- Oracle Cloud Infrastructure
- Oracle Autonomous Data Warehouse Environment,
- Oracle Analytics Cloud (OAC)
- Microsoft Power BI, Oracle Data Integrator (ODI)
- Data warehouse architecture
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