GIS Data Architect
2 days ago
Geographic Information Systems (GIS) Analyst
Location:Lansing
Duration:1 year with possible extension
Top Skills & Years of Experience:- A minimum of 5 years of experience in GIS-IT and enterprise data architecture.
- Expert level experience with ESRI ArcGIS products such as ArcCatalog, ArcMap or ArcPro.
- Minimum of 2 years integrating GIS systems built on relational databases with other applications (built in-house and vendor). Ability to quickly comprehend the GIS needs of applications and develop smart data solutions to deliver the data.
The GIS Data Architect under the Enterprise Section reports to the Michigan Customer of Technology, Management, and Budget (DTMB) Agency Services supporting the Michigan Customer of Transportation (MDOT).
This position will work with Enterprise Application Architect and Enterprise Data Architect. This position will be partnering with MDOT's GIS Team, MDOT application Business leads and MDOT Information Stewards.
This position will collaborate with GIS data authors and consumers, Center for Shared Solutions (CSS) GIS Administrators, Roads & Highways specialists, MDOT SDE (Spatial Data Engine) Geodatabase Administrators, information management staff, solution developers and business domain stakeholders, such as information managers, data stewards and business analysts.
Experience Required:- A minimum of 5 years of experience in GIS-IT and enterprise data architecture.
- Minimum of 2 years integrating GIS systems built on relational databases with other applications (built in-house and vendor). Ability to quickly comprehend the GIS needs of applications and develop smart data solutions to deliver the data.
- Expert level experience with ESRI ArcGIS products such as ArcCatalog, ArcMap or ArcPro.
- Experience building model data workflows to extract, transform and load GIS data using ArcGIS Model Builder is a must. (Experience on Spatial ETL tools such as Safe FME will be a plus.)
- Experience using the ESRI Roads and Highways Database and ESRI Versioned/non-Versioned Datasets.
- Knowledge in Python Programming using the ArcPy and ArcGIS Python API.
- Demonstratable experience in building GIS integration capabilities (feature or web service based) with applications.
- Knowledge and proven skills in MS SQL Server Spatial and Oracle Spatial.
- Excellent communication skills to collaborate at all levels of the organization.
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