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Provide expert level guidance on Generative AI skills and technologies. Design and build clients AI infrastructure and applications.
Design and build the architecture for the Continuous Integration/Continuous Delivery (CI/CD) pipelines on AWS cloud or Azure cloud.
Provide expert level guidance on Business Intelligence (BI) skills and technologies. Develop scalable and maintainable BI applications to meet business objectives.
Define BI standards guidelines and best practices for business groups and technical teams.
Collaborate with BI Developers Data Architect and Business Analysts for successful development of BI reporting and analysis solutions. Work with business groups and technical teams to develop and maintain data warehouse platform for BI reporting.
Demonstrate knowledge of cloud architecture and implementation features (OS multi-tenancy virtualization orchestration elastic scalability).
Demonstrate knowledge of DevOps tool chains and processes.
Guide and identify activities from the system business intelligence and data architecture perspective which have technical impacts/dependencies among Subject Matter Experts (SMEs) contractors business partners and stakeholders to ensure on-time and with quality completion of solution development/implementation per design specification and project requirements/objectives.
Identify log track and update technical risks and issues throughout BI and DW implementation.
Act as a Subject Matter Expert to the organization for BI&DW Data Platform end-to-end architecture including Snowflake AWS and other major cloud service providers from networking provisioning logging tracking and management.
Contribute to DevOps development activities and complex development tasks.
Drive scope definition requirements analysis functional and technical design application build product configuration unit testing and production deployment.
Provide technical expertise and ownership in the diagnosis and resolution of an issue including the determination and provision of workaround solution or escalation to service owners.
Ensure delivered solutions are realized in time frame committed; work in conjunction with project sponsors to size and manage scope and risk.
Provide support and technical governance and expertise related to cloud architectures deployment and operations.
Discover analyze document and communicate technical risks and architectural impacts.
Provide written weekly and/or monthly reports detailing various technical findings that may impact schedules resources and activities etc.
Minimum Technical Qualifications:
At least 10 years of hands-on experience with full life cycle of Data Warehouse technical design and development including logical and physical data modeling mapping data elements from various data sources and loading Data Warehouse objects including dimensions hierarchies fact tables and aggregates building the Reporting Metadata layer as well as building the reports.
At least 5 years of experience spanning at least two IT disciplines including technical architecture network management application development middleware database management or operations.
At least 5 years of hands-on experience in architecture design and implementation of business intelligence and predictive analytics on cloud-based Data Warehouses.
At least 3 years of using DevOps tool chains and processes.
At least 1 year experience of Generative AI architecture design and AI application development.
Desirable Technical Qualifications:
10 years of experience of data warehousing like: SQL Server Snowflake and/or AWS Redshift.
3 years of experience of using ETL tools like Informatica AWS Glue or Talend.
3 years of experience of Microsoft Power BI or Tableau.
Cloud Architect certifications and AI certifications.
Bachelors degree in computer science or related technical field.
Full-time