Data BI Architect

Provides technical direction to IT for a variety of data and artificial intelligence projects including data warehouse, business intelligence, data modelling and source data optimization initiatives. Develops conceptual, logical, and physical data models and architectures. Provides metadata strategies and data integration design. Provides technical infrastructure design and implements scalable and robust data architectures that support business objectives. Develop, test, and maintain data pipelines, ETL processes, and data integration solutions. Collaborate with cross-functional teams to gather requirements and deliver high-quality data solutions. Collaborate with business functions to design, develop, and deploy artificial intelligence and machine learning solutions to enhance business processes, as well as drive data-driven decision-making and innovation.
 

Environment: MS Visio, Microsoft 365 Services, XML, ANSI SQL, Oracle, Microsoft SQL Server, Postgres, Amazon RDS, Crystal Reports XI, SAP, Business Objects, Informatica, Trillium, Snowflake, Microsoft Power BI, Tableau, R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio, Databricks), SQL, NoSQL databases