BI and Data Analytics Solutions Architect in Phoenix, AZ

Elegant Enterprise Wide Solutions
Phoenix, AZ, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours

Tech stack

Microsoft Access Application Programming Interfaces (APIs) Amazon Web Services Business Analytics Applications Data Analysis Application Integration Architecture Microsoft Azure Cloud Computing Cyber Security Information Systems Data as a Services Information Engineering
+25 more
Data Infrastructure Data Integration Extract Transform Load (ETL) Data Security Data Warehousing Metadata Metadata Repositories Microsoft SQL Server Operational Data Store Oracle (Applications) Reference Data Power BI Software Engineering Spatial Data Infrastructures Tableau (Software) Data Logging Google Cloud Snowflake Microsoft Fabric Information Technology Qlikview Stream Processing Azure Synapse Analytics Data Pipelines Databricks

Requirements

Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related discipline; equivalent relevant education and experience may be considered where permitted by the Member. Substantial experience designing and implementing enterprise BI, analytics, data warehouse, data integration, or data platform solutions. Experience developing architecture artifacts, data models, integration patterns, technical specifications, and implementation roadmaps. Experience with enterprise-scale systems, complex data environments, and cross-functional technical delivery teams. Ability to assess competing technical options and explain architecture decisions, trade-offs, risks, and dependencies to technical and non-technical stakeholders. Technical Skills BI and visualization platforms such as Microsoft Power BI, Tableau, Qlik, or equivalent. Data platform technologies such as Microsoft SQL Server, Azure Synapse/Fabric, Snowflake, Databricks, Oracle, AWS analytics services, Google Cloud data services, or equivalent. Data integration and processing concepts, including ETL/ELT, APIs, messaging, orchestration, data pipelines, and batch/stream processing. Data modeling, relational and dimensional design, metadata, master/reference data, data quality, and data catalog concepts. Cloud, hybrid, and on-premises architecture; enterprise identity, network, storage, and application integration concepts. Security architecture concepts, including role-based access, encryption, logging, monitoring, privacy, and secure data sharing. Familiarity with GIS/spatial data integration and analytical reporting is an advantage where relevant to Member projects. Government and Education Experience Experience supporting government agencies, public authorities, school districts, K-12 systems, colleges, universities, or other education/public-sector organizations is preferred. Relevant experience may include enterprise reporting, financial and operational data, student/program data, regulatory reporting, public dashboards, and multi-system data integration. Familiarity with public-sector privacy, accessibility, procurement, and governance environments is beneficial. Certifications Relevant certifications may include Microsoft Certified: Azure Solutions Architect Expert, Microsoft Fabric Analytics Engineer Associate, Microsoft Power BI Data Analyst Associate, AWS Certified Solutions Architect, Google Professional Cloud Architect, SnowPro, Databricks certifications, or other recognized data/architecture credentials. Certifications should align with the platforms proposed for the applicable engagement.

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