Remote Senior Data & AI Solutions Architect

DXC Technology Company; Newark (NJ); Remote; USD 158,000 - 294,000; Full time

Job summary

DXC Technology Company is seeking a senior Data & AI architect to drive and present complex analytics solutions for大型 enterprise clients. You will interact with client leaders to shape technical strategy and ensure architectural alignment with business goals.

The role emphasizes PoCs, RFIs/RFPs, and collaboration with sales teams to articulate business value. A strong background in data engineering, security, and cloud architectures is required, with senior-level mentoring responsibilities.

Qualifications

• Bachelor’s degree in computer science, information technology, or related field.
• Extensive experience in data & analytics and client-facing pre-sales activities.
• Strong architecture design and hands-on data engineering skills.

Responsibilities

• Develop and drive large, complex data & analytics solutions for targeted clients.
• Present technical solution strategy to senior client executives and stakeholders.
• Deliver PoCs, RFIs/RFPs, and collaborate with Sales to qualify leads.
• Mentor others and collaborate with global Data & AI teams.
• Research industry best practices and leverage partner solutions to meet client needs.
• Create and refine data architectures including ingestion, storage, processing, and governance.

Skills

Data Engineering

Data Security

Platform Architecture

DevOps

Data Modeling

SQL

Python

Cloud Architecture

Education

Bachelor's degree in computer science / IT

Tools

Hadoop

Spark

AWS Redshift

Azure Data Lake

GCP BigQuery

Snowflake

Databricks

DBT

Fivetran

Job description

DXC Technology Company is seeking a senior Data & AI architect to drive and present complex analytics solutions for大型 enterprise clients. You will interact with client leaders to shape technical strategy and ensure architectural alignment with business goals.

The role emphasizes PoCs, RFIs/RFPs, and collaboration with sales teams to articulate business value. A strong background in data engineering, security, and cloud architectures is required, with senior-level mentoring responsibilities.