I
Not Specified Permanent

San Diego, California · USA job

Databricks & AWS Data Engineering Architect

Infosys Technologies

San Diego, California

Job description

Overview

In this role you design and review solution architectures that align with business goals, shaping scalable and maintainable systems. You collaborate with clients and internal teams to drive successful delivery and share architectural insights for proposals. You'll assess technologies, guide integration, and mitigate risks to support data-driven decisions. This position offers opportunities to mentor others and influence large modernization programs within a cutting-edge DNA unit.

Compensation / Benefits
  • Medical/Dental/Vision/Life Insurance
  • Disability insurance
  • Health and Dependent Care Reimbursement Accounts
  • 401(k) plan
  • Paid holidays and Paid Time Off
Responsibilities
  • Create business requirement documents from workshops and interviews (functional and non-functional)
  • Review and develop solution architecture ensuring alignment with framework, scalability, reliability, and maintainability
  • Assess and recommend technologies, tools, and platforms for implementation
  • Review technical solutions and plan integration across systems for seamless data flow
  • Resolve complex technical challenges during build, deployment, and support phases; promote reusable frameworks
  • Provide specialized insights to development teams and foster collaboration with clients and internal teams
  • Identify risks in the system landscape and suggest optimization initiatives
  • Establish and maintain a knowledge base for vital information
  • Contribute to proposals and RFPs with architectural insights for solutions
Key requirements
  • Hands-on experience in Data Engineering, Data Warehousing, and Data Architecture
  • Strong hands-on expertise in Databricks, PySpark, SQL, and AWS
  • Proven experience leading enterprise-scale migration and modernization programs
  • Experience in CI/CD, data governance, and engineering best practices
  • Strong stakeholder management and technical leadership skills
  • stakeholder management
  • technical leadership
  • mentoring
  • Databricks
  • PySpark
  • SQL

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