Data Architect:
Sr. Data Architect should have working understanding and application of dimensional and relational modeling techniques and methodologies and will need to support data initiatives and ensure optimal data delivery is consistent throughout ongoing projects. You will engage in supporting the data needs of multiple teams, systems and products for on-prem and cloud implementations.
 Essential responsibilities include participating in analysis sessions with the user community to capture data requirements clearly, completely and correctly, include identifying, analyzing and translating business requirements into logical and physical database design and final data product.  Successful candidate delivers data architecture, modeling, specifications and data profiling services to the BI / DW / Data Engineering projects from the requirements through design, development, test and implementation.
 
ResponsibilitiesWork with partners including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data acquisition needsOrchestrate large, complex data sets that meet functional/non-functional business requirements for on-prem and Azure projectsParticipating in analysis sessions with the user community to capture data requirements clearly, completely and correctly and translate requirements into a viable data models in complex, multi-application environmentsCollaborate with data engineering, and analytics talent to strive for greater functionality in our data systems.Implement operational and dimensional logical and physical design using modeling tools for Data Marts, Data Warehouse and Azure cloud data solutionsDefine and implement best practices in the areas of data architecture, data warehousing, ETL/data integration, data engineering and advanced analyticsCreate, review and communicate the Source Systems Analysis and Source-to-Target mapping across Staging, integration and presentation layers, conduct Data analysis/profiling using SQL and / or T-SQL and reverse engineering of data and data cataloging within on-prem and Azure Synapse environmentsIdentify and document data integration issues, challenges such as duplicate data, non-conformed data, and unclean dataDemonstrate deep familiarity with MS SQL Server database technologies (MS SQL 2016 and above) and proficiency in SQL/T-SQL in both on-prem and Azure cloudUnderstand Business Intelligence solutions, present strong knowledge of relational and multi-dimensional database architectures, database lifecycle design and application developmentWork with team members to design and maintain a corporate data architecture that allows the data warehouse to evolve with the businessDeliver quality work on time with multiple, competing prioritiesEffective communication skills Ability to work independently and as part of a team Ability to execute effectively on the agreed upon decisionsAbility to read/interpret documents including process, procedure, and technical manuals.Excellent organizational skills with the ability to work effectively on multiple priorities with firm deliverable dates.Bachelor’s Degree in Information Systems or related discipline preferred