| • 15+ years of related experience and 5+ years of data modeling experience in the asset management Industry • Must to have - Prior recent Financial Domain or Asset Management experience • Experience working Data modeling tools with ERWIN or similar tool. • Modeling techniques (normalization, star schemas, data vault, or 3NF). • Experience designing an Enterprise Data Model for Asset management industry. • SQL, Spark, Python • Ready to work individually and in a team in Agile set up • Great communication skills • Build and maintain logical and physical data models for Enterprise. • Build and maintain conceptual data model to identify key business entities and visualize their relationships. • Create documentation of solution design, as well as end user training and change management communications at times. • Understand and translate business needs into data models supporting strategic solutions. • Work with the Application Development team to implement data strategies, build data flows and develop conceptual data models. • Develop best practices for standard naming conventions and coding practices to ensure consistency of data models. • Recommend opportunities for reuse of data models in new environments. • Perform reverse engineering of physical data models from disparate databases and SQL scripts. • Evaluate data models and physical databases for variances and discrepancies. • Validate business data objects for accuracy and completeness. • Develop data models according to company standards. • Perform data profiling/analysis activities that help to establish, modify and maintain data models. • Communicate physical database designs and dba and explain features that may affect the physical data model. • Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders. • Analyze data-related system integration challenges and propose appropriate solutions with a strategic approach. |