*Hybrid, 3 days onsite, 2 days remote*

*We are unable to sponsor as this is a permanent Full time role*

A prestigious company is looking for a Senior Technical Lead, Enterprise Data Modeler. This technical lead will lead the data modelling efforts for the enterprise business model and will focus on data modelling, data architecture, data analysis, data warehousing, and data management. This tech lead will need experience with data modelling tools such as ERwin, ER/Studio or PowerDesigners and languages such as PL/SQL, T-SQL, and ANSI SQL.

Responsibilities:

• Responsible for leading the data modelling efforts related to the Enterprise Business Model (EBM).
• This role collaborates with the CTS Data Architecture Leads, Enterprise Business Model Leads, and Business-aligned Technology Office (BTO) team members across the company's business to drive the creation of the Enterprise Business Model.
• Acts as subject matter expert for CTS Data Architecture team in the plan, design, and delivery of IT data solutions
• Drive the standardization of technical documentation supporting the Enterprise Business Model including notation, templates, and design of data structures
• Create appropriate technical documentation as part of work assignments, such as program code, flowcharts, and technical requirements
• Perform design implementation and support of Enterprise Data Management (EDM) and data structures within all layers of the Enterprise Data Warehouse (EDW) environment

Qualifications:

• Bachelor's degree in computer science, information technology or related field
• 10+ years' experience in a logical/physical data modelling, data architecture, data analysis, and data management role
• Experience with data modelling tools like ERwin, ER/Studio or PowerDesigners
• Experience with different query languages such as PL/SQL, T-SQL, and ANSI SQL
• Broad understanding of structured, semi-structured, and unstructured data and message formats (such as XML, JSON, etc.)
• Experience with database technologies such as Oracle, DB2, Sybase, PostgreSQL, Snowflake, SQL Server, or MySQL
• Knowledge of data warehousing and Business Intelligence concepts including data mesh, data fabric, data lake, data warehouse, and data marts