Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Santa Clara, CA, United States
Posted
21 hours ago
OracleSQLSQL ServerAWSETLSnowflakeTableauAzureData PipelineDatabricksPower BIStakeholder Management
Job Description
Job Description: Data Architect – Tableau & Power BI
Location: Santa Clara, CA – Onsite
Key Responsibilities
Location: Santa Clara, CA – Onsite
Key Responsibilities
- Design and implement enterprise data architecture to support BI, analytics, and reporting platforms.
- Develop, maintain, and optimize scalable Tableau dashboards, reports, and visualizations.
- Provide technical leadership in Tableau architecture, dashboard design, performance tuning, and governance.
- Design and implement Power BI reports, dashboards, semantic models, and data visualization solutions.
- Develop data models, dimensional models, data marts, and analytical datasets.
- Collaborate with data engineering teams to define data pipelines and ensure high-quality data availability.
- Optimize Tableau and Power BI solutions for performance, scalability, and usability.
- Establish standards for BI development, data visualization, security, governance, and deployment.
- Integrate BI platforms with enterprise data sources, including SQL Server, Snowflake, Oracle, Azure, and AWS.
- Gather business requirements and translate them into technical architecture and reporting solutions.
- Troubleshoot complex BI, data integration, and performance issues.
- Establish best practices for Tableau Server/Cloud, Power BI Service, workspaces, access control, and deployment.
- Collaborate with architects, developers, data engineers, and business stakeholders throughout the project lifecycle.
- 8+ years of overall IT experience.
- 5+ years of hands-on Tableau development or architecture experience.
- Strong experience with Tableau Desktop and Tableau Server/Cloud.
- Expertise in Tableau dashboard development, performance optimization, and visualization best practices.
- Strong Power BI experience, including Power BI Desktop and Power BI Service.
- Experience in data modeling and dimensional modeling.
- Strong SQL and relational database knowledge.
- Experience in enterprise data architecture and BI/analytics architecture.
- Experience working with large-scale datasets.
- Excellent communication, problem-solving, and stakeholder management skills.
- Snowflake and cloud data platforms.
- Azure and AWS.
- SQL Server and Oracle.
- Azure Synapse Analytics and Databricks.
- DAX and Power Query.
- ETL/ELT concepts and data pipeline integration.
- Data governance, data security, and access management.
- Tableau Server and Power BI administration.
- Cloud data warehouse architecture.
- CI/CD and BI deployment processes.
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