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Infosys · 2 weeks ago

Senior Technology Architect - Azure Databricks

San Diego, CA

Full-time

Onsite

Senior Level, Lead/Staff

$104K/yr - $144K/yr

11+ years exp

Infosys is a global leader in next-generation digital services and consulting, seeking a Senior Technical Databricks Architect to lead the modernization of legacy Informatica ETL workflows into a scalable, cloud-native Databricks framework. The role involves designing, developing, and maintaining data processing systems and solutions using Azure, Python, and SQL, while collaborating with various stakeholders to deliver enterprise-grade data pipelines for analytics and AI initiatives.

ConsultingInformation ServicesInformation TechnologyIT ManagementSoftware

No H1B

Responsibilities

Lead the modernization of legacy Informatica ETL workflows into a scalable, cloud-native Databricks framework

Design, develop, and maintain data processing systems & solutions using Azure, Python, and SQL

Collaborate with Product Owners, Data engineers, Analysts, and other stakeholders to understand requirements and deliver solutions

Qualification

AzureDatabricksSQLData architectureDatabase developmentData warehousingETL ToolsFivetranAPI IntegrationData modelingPipeline orchestrationCI/CDPerformance tuning

Required

Candidates must be located within commuting distance of San Diego, CA or must be willing to relocate to the area. This position may require travel within the US

Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education

Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time

At least 11 years of Information Technology experience

Hands on experience in data architecture, database development, and data warehousing

Expertise in SQL development, tuning, and database performance optimization