Full Job Description
Posting Title: Analytics Platform ArchitectReports To: Director of Data & ArchitectureLocation: San Jose, California Salary Range: $150,000 to $200,00Final determination of a successful candidate's starting pay will vary based on a number of factors, including market location and may vary depending on job-related knowledge, skills, education and experience. The pay scale listed for this position is generally for candidates that meet the specified qualifications and requirements listed on this specific job description. We provide a competitive compensation package that recognizes your experience, credentials, and education alongside a robust benefits program to meet your needs. Our compensation reflects the cost of labor across several US geographic markets.
WHO WE AREFor nearly 70 years, Cupertino Electric, Inc. (CEI) has been powered by people who've built a reputation for delivering high-profile, complex projects. Real, tangible things that alter the landscape and improve lives. But even more than that, we've built a reputation for integrity. We're problem solvers and innovation seekers. We're team players and safety fanatics. And we always-always-do the right thing. Even when no one is looking. Because what we do here is important, but how we do it is everything.THE IT TEAMOur projects may be complex, but our approach is simple: We build great things and we do it with great people. Using well-designed processes and controls, integrating smart and reliable solutions, and providing access to the information needed, our IT Team comprised of seasoned and experienced professionals, enable the success of the organization. We do this while minimizing operational and financial impact.ABOUT THE ROLEThe Analytics Platform Architect manages the design and optimization of Cupertino Electric's data analytics platform. This role combines expertise in Databricks administration, data engineering, and BI development. It creates a scalable analytics environment using the medallion architecture pattern. The position provides leadership for data ingestion, transformation, and visualization strategies. It ensures proper governance through Unity Catalog.
WHO WE AREFor nearly 70 years, Cupertino Electric, Inc. (CEI) has been powered by people who've built a reputation for delivering high-profile, complex projects. Real, tangible things that alter the landscape and improve lives. But even more than that, we've built a reputation for integrity. We're problem solvers and innovation seekers. We're team players and safety fanatics. And we always-always-do the right thing. Even when no one is looking. Because what we do here is important, but how we do it is everything.THE IT TEAMOur projects may be complex, but our approach is simple: We build great things and we do it with great people. Using well-designed processes and controls, integrating smart and reliable solutions, and providing access to the information needed, our IT Team comprised of seasoned and experienced professionals, enable the success of the organization. We do this while minimizing operational and financial impact.ABOUT THE ROLEThe Analytics Platform Architect manages the design and optimization of Cupertino Electric's data analytics platform. This role combines expertise in Databricks administration, data engineering, and BI development. It creates a scalable analytics environment using the medallion architecture pattern. The position provides leadership for data ingestion, transformation, and visualization strategies. It ensures proper governance through Unity Catalog.
- Databricks Environment Management: Administer and optimize Databricks workspace configurations, Manage compute resources and cluster policies, Implement and maintain Unity Catalog for data governance, Configure and maintain security policies and access controls, Monitor platform performance and costs
- Data Architecture: Design and implement medallion architecture (Bronze, Silver, Gold layers), Establish data modeling standards and best practices, Create and maintain technical documentation, Define data quality rules and validation processes, Implement data lifecycle management strategies
- Data Integration & Pipeline Development:
- Azure Data Factory (ADF): Design and implement data ingestion patterns, Create and maintain ADF pipelines, Establish monitoring and alerting, Optimize pipeline performance, Implement error handling and recovery procedure
- Data Processing: Develop and maintain Delta Lake tables, Implement merge patterns and SCD handling, Create efficient transformation logic, Establish data quality checks, Design incremental processing patterns
- Analytics & Visualization:
- Power BI Development: Lead the development of enterprise dashboards, Establish Power BI development standards, Implement row-level security, Create and maintain semantic models, Optimize report performance
- Technical Leadership: Mentor data engineers and analysts, Establish coding standards and best practices, Review technical designs and implementations, Drive adoption of modern data practices, Partner with enterprise architecture team
- Platform Expertise: Databricks (Workspace administration, Unity Catalog management, Delta Lake optimization, Performance tuning, Cost optimization, Security configuration), Azure Technologies (Azure Data Factory, Azure Key Vault, Azure Active Directory, Azure Monitor, Azure Storage)
- Development Skills: Python, SQL, Spark, DAX, Power Query M
- Tools & Practices: Version control (Git), CI/CD pipelines, Infrastructure as Code, Documentation tools, Monitoring solutions
Job Information
Job Category:
Information Technology
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