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 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