RAPP is seeking a Freelance - Principal Data Architect to join their award-winning Technology team in Chicago. The role involves designing, implementing, and optimizing enterprise data architecture to enable advanced analytics and AI-driven solutions.
About the Role
As a Principal Data Architect, you will guide the organization in defining and implementing an enterprise-wide data architecture strategy. Your responsibilities include developing data models, evaluating emerging data technologies, providing expert recommendations for data platforms, and ensuring compliance with data governance standards. You will also mentor data engineers and act as a trusted advisor to senior leaders.
About You
Required:
7+ years of experience in data architecture, data engineering, or related fields.
Proven consulting experience with enterprise clients across industries.
Deep expertise in modern data platforms (Snowflake, Databricks, Redshift, BigQuery, Synapse).
Strong knowledge of data modeling, ETL/ELT, streaming technologies (Airflow, Kafka, Kinesis), and API-based integrations.
Experience with cloud ecosystems (AWS, Azure, GCP) and hybrid data architectures.
Solid understanding of data governance, security, and compliance frameworks.
Strong communication skills to translate complex data concepts into business terms.
Preferred:
Experience with AI/ML data readiness and MLOps integration.
Familiarity with data mesh, data fabric, or distributed data architectures.
Certifications in cloud platforms or data management frameworks.