User firm-wide standards and design review process to develop logical/physical data models for implementation on target platforms like Teradata, Exadata and/or Hadoop
Create target state solutions using Hadoop and other technologies within the Data Ecosystem
Working with business and other key stakeholders to facilitate JAD sessions to understand analytical requirements
Translate business requirements into target state conceptual models.
Collaborate with high-performing teams and individuals throughout the firm to accomplish common goals
Mentor junior modelers and perform peer reviews on project solution deliverables.
Identify opportunities for improving processes to bring efficiencies to the data modeling efforts.
Advanced knowledge of data architecture, design and business processes ODS and Data Warehouse environments
Ability to work collaboratively in teams and develop meaningful relationships to achieve common goals
12+years of strong experirence working in Data Warehouse environment with heavy emphasis on data modeling/data architecture involving data analysis, design, coupled with strong knowledge of end-to-end data warehouse development life cycle (data integration, conceptual, logical and physical modeling)
Hands on experience with modeling tools, such as ERWIN or another industry standard tool and knowledge of various features of modeling tool
Strong experience in platforms like Teradata and/or Oracle with VLDB
Strong SQL skills to pull data from Teradata/Oracle and perform usage analysis and/or data profiling
Experience leading JAD sessions and assisting junior team members with defining data model development methodologies, principles, standards and governance considering People and Process optimization aspects.
Define/maintain application specific solution designs that align to target state data ecosystem architectures, including viable alternatives with value propositions / trade-offs.
Exposure and understanding of Big Data technologies and architectures – Hadoop, Cassandra, Green Plum, etc