North America-posted 7 days ago
Full-time • Mid Level
Washington, DC
5,001-10,000 employees

The Data & AI Architect is responsible for defining the end-to-end architecture for data and AI solutions across multiple industries and geographies. This includes designing data platforms, integrating AI capabilities, and ensuring alignment with business objectives, technical standards, and governance frameworks. The role bridges strategy, engineering, and delivery—translating business requirements into robust, production-ready architectures.

  • Solution Architecture and Design
  • Data Platform Engineering
  • AI and Machine Learning Integration
  • Governance, Security, and Compliance
  • Client Engagement and Delivery Support
  • Innovation and Continuous Improvement
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
  • 10+ years in data and analytics, with at least 5 years in architecture roles across large-scale enterprise or SI environments.
  • Data Platforms: Snowflake, Databricks, BigQuery, Synapse, Redshift
  • Cloud Platforms: AWS, Azure, Google Cloud (multi-cloud experience preferred)
  • AI/ML Tools: TensorFlow, PyTorch, Scikit-learn, MLflow, Kubeflow
  • Data Integration: Apache Spark, Kafka, Airflow, Informatica, Talend
  • Programming: Python, SQL, Scala, Java
  • DevOps/MLOps: Docker, Kubernetes, CI/CD pipelines, Terraform
  • Strong communication, stakeholder management, and solution storytelling capabilities.
  • Medical, Dental and Vision Insurance (Subsidized)
  • Flexible Spending Accounts (Healthcare and Dependent Care)
  • Short-Term and Long-Term Disability
  • Life and AD&D Insurance
  • Assistance Program
  • Matched 401(k) Retirement Savings Plan
  • Paid Time Off
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