"Azure Data Architect"

Role: Azure Data Architect Location: Seatle, WA Duration: Long Term Job Responsibilities Solution planning: o Researches and understands technical requirements, trends, and strategies for Data Analytics solutions implementation. o Assesses all project information to understand the scope, the current IT and business environment, objectives and priorities. o Defines and documents the proposed, high-level solution, to create Data, BI, and Analytics solutions. o Analyzes technical risks and advises on risk mitigation strategies. o Works with the Delivery Manager, Product Owner, Business stakeholders, Engineering team and Leadership to capture key architectural requirements and assist in developing a viable plan Solution Delivery o Applies technical knowledge of enterprise-scale architecture solutions to meet business and information technology (IT) requirements and resolve identified technical constraints. shaping and enhancing customers' requirements. o Responsible for the technical content (architecture and design), integrity and quality of the solution. o Defines and documents the actions needed to close architecture gaps in support of business objectives. o Participates in reviews of the designs, prototypes and other technical deliverables to ensure they fulfill requirements and meet standards Job Requirements 7+ years' of professional Information Technology experience in solutioning, designing, development, and delivering Data Analytics Solutions. 7+ years combined experience: Analytics, Data Science, Data Engineering, Business Intelligence, Software Development, Program Management, technical/engineering role(s) with a data focus. Technical background in large scale data warehousing, data lakes, distributed data processing, and advanced analytics concepts. Strong technical proficiency in Azure cloud services and adv

• Strong technical proficiency in Azure cloud services
• Advanced working knowledge with Reporting, Data Visualization development (Power BI).
• Experience with orchestration and administration of enterprise data warehouse/data lake and data application environments (e.g., Synapse, PowerBI, Databricks, and Tableau etc.).
• Familiar with IBM Cognos Analytics