Qualifications

• 10+ years of senior data architecture experience on enterprise programs.
• Deep knowledge of AWS-centric data platforms, especially S3, S3 Tables, and Athena.
• Hands-on experience with lakehouse architectures using Apache Iceberg, Trino, and Apache Spark.
• Experience with PostgreSQL and cloud databases, plus integrating on-prem Oracle sources.
• Expertise in conceptual, logical, and physical data modeling using Erwin.
• Familiarity with data governance and architecture governance standards, including data-as-a-product.
• Experience with data cataloging tools, preferably Alation.
• Strong communication skills for translating technical concepts to business stakeholders.

Responsibilities

• Lead solution architecture for strategic enterprise data programs, from current-state assessments to target-state designs.
• Design an AWS-centric governed data lakehouse utilizing technologies like Apache Iceberg and Amazon S3.
• Implement data virtualization and federation for seamless data access from Oracle to cloud sources using Denodo.
• Conduct comprehensive data modeling following enterprise standards using Erwin.
• Maintain compliance with data governance and architecture governance, focusing on data quality and usability.
• Enable AI capabilities on the data platform with tools like Amazon Bedrock and Dataiku.
• Collaborate with various teams to ensure effective implementation and governance of data solutions.

Benefits

• Opportunity to work on high-visibility enterprise data strategy programs.
• Access to cutting-edge technologies in cloud data architecture.
• Collaborative work environment involving interaction with senior management and various departments.
• Focus on innovation and AI capabilities in data solutions.
• Potential for professional growth in a rapidly evolving data landscape.