Databricks & AWS Data Architecture Architect

Infosys; San Diego (CA); On-site; USD 140,000 - 170,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Job summary

Infosys is seeking an Architecture Consultant 3 to design and review solution architectures that align with business goals. You will work with client stakeholders to gather requirements and translate them into scalable, reliable architectures.

The role requires hands-on data engineering expertise, experience with Databricks, PySpark, SQL and AWS, and the ability to guide migrations and modernization programs while promoting best practices, governance, and collaboration across teams.

Qualifications

• Bachelor's degree or foreign equivalent, or 3 years progressive experience in lieu of degree.
• Experience in data engineering, warehousing, and architecture.
• Willingness to relocate and travel to project locations.

Responsibilities

• Create business requirement documents covering functional and non-functional requirements.
• Review and develop scalable, reliable, and maintainable solution architecture.
• Assess technologies, tools, and platforms to meet business requirements.
• Review integration strategies with different technologies and systems.
• Resolve complex technical challenges during build, deployment, and support phases.
• Provide specialized insights to development teams and build client/internal relationships.
• Identify potential risks in the system landscape and monitor performance.
• Establish and maintain a knowledge base of vital information.
• Contribute to proposals and RFPs with architectural insights.

Skills

Data Engineering

Data Warehousing

Data Architecture

Databricks

PySpark

SQL

AWS

CI/CD

Data governance

Engineering best practices

Stakeholder management

Technical leadership

Education

Bachelor's degree

Tools

CI/CD Tools

Monitoring & Observability Tools

Job description

Infosys is seeking an Architecture Consultant 3 to design and review solution architectures that align with business goals. You will work with client stakeholders to gather requirements and translate them into scalable, reliable architectures.

The role requires hands-on data engineering expertise, experience with Databricks, PySpark, SQL and AWS, and the ability to guide migrations and modernization programs while promoting best practices, governance, and collaboration across teams.