Data Platform Architect

The role

You will design and integrate engineering solutions for a client platform. This includes conducting analysis of alternatives, prototyping AI integrations, and managing rollout roadmaps.

What you will do

• Conduct Analysis of Alternatives to inform target-state platform decisions
• Prototype safe, high-value AI integrations to minimize future rework
• Lead target-state discovery initiatives for client platform
• Develop and manage rollout roadmaps for the three domains
• Create and execute AI/ML technical integration plans
• Implement data governance and data quality frameworks
• Develop data quality scoring methodologies and AI catalog summarization processes

Required qualifications

• 5 years of experience in data engineering, database administration, cloud services, analytics, or related technical positions
• Strong skills in SQL, relational and NoSQL databases, and data warehouse technologies
• Experience designing ETL/ELT architectures, streaming ingestion, and orchestration tools (e.g., Airflow, Spark, Kafka)
• Ability to implement data governance frameworks, access controls, encryption, and compliance standards
• An active TS/SCI

Benefits

• hands-on experience
• certifications
• industry training

Before you apply

• An active TS/SCI is required
• Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States
• Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration

About the company

Accenture Federal Services is a technology company within global Accenture that helps the US federal government. Its 13,000+ people pursue technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.