As a Data Domain Architectyou will beresponsible for designing, developing, architecting, restructuring and defining the data (and metadata) needed to drive geospatial analytics within Corporate Responsibility. your role will play a key part in several high visibility projects across the firm and serve as the SME for geospatial data within the team. You will implement, oversee and partner on owning the design of data needed to drive business execution and analytics. This may include activities such as data analysis/wrangling, data modeling, metadata definitions, data flow design, data security requirements, data quality analysis, and business process analysis.
Job Responsibilities:
- Facilitate use case and requirements definition, design, testing, and implementation of new data delivery and analytic capabilities with an emphasis on geographic reporting.
- Enable the management of data as a corporate asset: define data (metadata), identify systems of record and authoritative sources, create data quality rules, define security requirements, create data flow diagrams, and administer firm-wide principles, standards, and controls.
- Create conceptual and logical models to describe a particular domain of data and use these models to inform the physical design of data-related projects. Consult enterprise and industry models.
- Develop strategic roadmaps for GeoDE that describes a sequence of projects to improve management and utility of the data for the business.
- Identify areas for efficiency across data domains, such as the elimination of duplicate data or platforms.
- Support regulatory filings; including the firm’s 10-K report and the annual shareholder letter.
- Conduct business process analysis and identify data needed to support the processes. Determine whether the firm’s data is fit for use within a given process.
- Conduct research and development with emerging technologies, determine their applicability to business use cases, document and communicate their recommended use in the firm.
- Proactively looks for ways to improve processes and procedures.
Required Qualifications, capabilities and skills:
- 6+ years of experience working with geospatial data.
- Excellent command of the SQL language.
- Deep expertise in Census data geographic hierarchy and its relevance to various census surveys.
- Experienced in localizing data using spatial joins and geometric centroids.
- Advanced knowledge in Python, R, SAS, and Alteryx.
- Working knowledge of the geographical organization and segmentation of the firm's data.
- Skilled in using GIS and spatial analysis tools, including ArcGIS, QGIS.
- Knowledgeable in GIS algorithms and processes.
- Technical understanding of common relational database systems; i.e., Data Bricks.
- Advanced analytical thinking and problem-solving skills.
- Excellent verbal and written communication skills