Qualifications

• Proficiency in Python, PySpark, and Databricks.
• Experience with Java/Kafka, Spark, Cassandra and Graph QL.
• Strong background in Data Platform Modernization and Cloud Transformation.
• Familiarity with Modern Data Lakehouse Architectures.
• Expertise in real-time data integration and streaming architectures.
• Capability in Architecture Blueprinting and Technology Evaluation.
• Excellent communication and client-facing skills.

Responsibilities

• Lead hands-on Enterprise Data Platform Modernization initiatives and roadmap development.
• Conduct workshops to gather business requirements and future-state aspirations.
• Define and develop Target and Transition State Architectures for data platforms.
• Drive solution definition and technology evaluations for scalability and performance.
• Translate business needs into actionable technical capabilities and architecture designs.
• Select and assess technology across open-source, cloud-native, and commercial solutions.
• Establish data platform governance frameworks and engineering practices.

Benefits

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage including health, dental, vision, and pet insurance.
• Support for family needs with Maternal & Parental Leaves.
• Insurance options including Auto & Home Insurance and Identity Theft Protection.
• Convenience perks like Commuter Benefits and training reimbursement.
• Generous vacation, sick leave, and holiday time off.
• Legal and financial assistance programs, including a 401K plan and student loan refinancing.