Job Description :
Data Architect

At least 3 years of experience in the Business Intelligence technology space:

Expertise in BI-related data architecture, integration, modeling, and presentation

Understands BI-related features and limitations of common database platforms (SQL Server, Analysis Services, Oracle, DB2, Postgres, others)

Experience with ETL technologies (SQL Server Integration Services, Data Factory)

Experience with modeling and presentation technologies (SQL Server Analysis Services, Reporting Services, MicroStrategy, Business Objects, Cognos, Tableau, PowerBI, others)

At least 1 years of experience in Microsoft AZURE and its related service technologies, including:

Active Directory / Data Factory / Data Catalog

HDFS / Data Lake Stores / Analytics

SQL Databases / Warehouses / BISM Stack (SSMS, SSDT, SSIS, SSAS, SSRS)

Analysis Services (Tabular Mode / DAX / Cube concepts)

Able to plan a solution architecture within an existing client environment

Ability to quickly learn new tools based on conceptual understanding of technology

Ability to plan and model data integration processes

Ability to build data models supporting complex objects (KPIs, hierarchies, custom metrics, perspectives, parameters, geospatial, time-series, ranking, and predictive content)

Ability to construct intuitively interactive, visually informative dashboards and reports, incorporating appropriately representative graphics, filtering, and sorting methods

Ability to write documentation that explains complex technical concepts

Ability to effectively communicate with senior staff leaders

Understands common data quality issues and can elaborate on their resolution

Database Design, Data Maintenance, Database Security, Database Management, Data Analysis, Requirements Analysis, Teamwork, Technical Zeal, Project Management, Presenting Technical Information, Training, Operating Systems.

At least 5-10 years as a lead/senior data architect with all of the skills listed in the "Skills Required" section.

Bachelors Degree in Computer Science, Statistics, Applied Math or related field

Masters Degree in Computer Science, Statistics, Applied Math or related field