How you will do it:

• Developing in-depth understanding of data structures and information content.
• Selecting, Deploying, & Managing the systems and infrastructure required for a data processing pipeline in support of the project's requirements.
• Investigating, Creating, & Maintaining data flows, data content, data element definitions with a goal of enterprise Master data integration.
• Implementing & Cleansing Strong knowledge of Master Data, with technical implementation experience of data cleansing, de-duplication and management.
• Understanding Bring data management experience, including an understanding of concepts, practices, procedures and tools - providing strong analytical, innovative and creative problem-solving skills.
• Developing Demonstrated experience using AI-assisted development tools to create, optimize, debug, and validate production-ready SQL and Python scripts.
• Communicating Bring excellent interpersonal and communication skills (personal, written and presentation) and work cross-functionally with IT and non-IT staff.
• Determining Technical breath in data profiling from different sources and determine whether and how data can support business and data requirements of its intended use.
• Understanding Technical understanding of data models, data standards, and business glossary.
• Developing & maintaining common business definitions and metadata criteria for consistent metrics reporting across the enterprise.
• Designing the architecture for our new data & analytics platform to support analytics and data science / machine learning.
• Recommending & implementing patterns and best practices for data engineering.
• Ensuring quality processes are built into the design of the platform.
• Understanding the architectural difference between solution approaches and communicating the advantages/disadvantages of your recommendation to both technical and non-technical audiences.
• Developing complex SQL queries to obtain data from our source systems.
• Performing data validation and quality assurance to ensure data integrity and accuracy.
• Collaborating with IT and business partners to identify data sources and align data domains to authoritative sources of data.
• Enforcing Tactical enforcement of Data Governance policies and rules.
• Researching new technologies while keeping up-to-date with technological developments in relevant areas of Data Governance, Master Data, and Data Quality.

What you will need to join Cascade:

• BS/BA in Computer Science, Business, Math or related field. Masters preferred. 
• At least 5 years of experience in information technology. 
• At least 3 years of data architecture experience. 
• At least 3 years of experience programming in one of the following high-level programming languages: Java, c++ or c#.
• At least 3 years of experience with Microsoft SQL, SSIS, SSRS, SSAS and related technologies.
• Preferred experience with JavaJet2
• Preferred experience with Microsoft Azure BI and Analytics Stack including Azure SQL and related --   technologies. 
• Practical experience in participating in and running data management programs. 
• Experience with enterprise data management technologies including data warehouses, ETL tools, SQL, and master data management solutions.