VP Data Platform

Responsibilities:

Design and implement a robust data platform architecture that supports data-driven initiatives, including artificial intelligence, across the enterprise.
Build, manage, and mentor a group of engineering and data science team members.
Evaluate and select appropriate data tools based on business requirements, technical considerations, and enterprise goals.
Oversee the deployment, maintenance, and optimization of the data platform infrastructure.
Drive data integrations to consolidate data from disparate sources that flow into the centralized platform.
Partner with data scientists to enable advanced analytics and machine learning capabilities.

Qualifications:

Bachelor's degree in Computer Science, Engineering, or similar field.
10+ years of experience in data engineering and at least 5 years leading data engineering teams.
Strong grasp of data architecture, data modeling, and data warehousing concepts.
Proficient with various data engineering tools and technologies (e.g., Hadoop, Spark, Kafka, SQL, NoSQL databases).
Hands-on experience with AWS cloud platform and knowledge of AWS data-related services including machine learning and artificial intelligence capabilities.
Experience with data visualization tools (Tableau, Power BI, Mictostrategy, etc.)