
Enterprise Architect
Create or improve existing data pipelines in cloud for data transformation and aggregation, data analytics, visualization and data science use cases. Drive data integration efforts to increase value of operational technology investments including AMI, Water Quality, Customer Experience, SCADA, GIS, Asset Management, Work Management, IIoT, etc. Collaborate closely with Data Engineering and Data Science teams to identify performance bottlenecks in data models and queries then develop and implement solutions. Address technical inquiries around enterprise architecture and general features / functionality of Snowflake data lake platform. Contribute to and help in the execution of the data management roadmap and support of a vision for information delivery and management including the data migration, security design and data pipeline best practices. Identify and determine solutions for new systems being implemented.
5 to 10 years' experience in a senior-level IT management role
Experience leading significant data architecture transformations at a technical level within a large organization
Deep experience in data architecture, data modeling and implementing data lakes
Proficient in designing data infrastructure for data lakes
Familiarity with data structures (i.e. 3NF, 2NF, OLAP, OLTP, Star & Snowflake)
Python
Project Management Skills
Snowflake
Effective Time Management
SCADA
Full BI life cycle of Data Warehousing
ETL/ELT tools
Advanced PL/SQL
Verbal communication
Prioritizing skills
written communication
Flexibility/Adaptability
Attention to detail and accuracy
Multi tasker
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