Data Science Director

• Architecting & implementing data platforms of the highest complexity.
• Defines the data & technology architecture in a flexible & scalable manner to meet current business needs.
• Designs the architecture to comprise of reusable frameworks in the application & platform.
• Incorporates nonfunctional considerations into the design of the architecture.
• Defines processes & standards to support the operationalization of Data & Technology Architecture.
• Advice & supports application teams in detailed design for data platforms.
• Ensures cross team integration and proper hand-offs of code/tasks to meet schedules.
• Research and evaluate Data Engineering tools and frameworks.
• Participate on POCs and assist in client presentations.
• Assist engineering leadership in hiring and interviewing top talent.
• Assist in developing center of excellence, best practices, documentation, reusable assets.
• Proficient in distributed architecture, understanding of required infrastructure setup.

• 15+ years of experience with significant experience in the Data Engineering space.
• Experience in designing and building robust and highly scalable data platform and data pipelines.
• Experience with leading a team of experienced data professionals.
• Prior experience working in the consulting space will be highly advantageous.
• Strong programming proficiency using 1 or 2 of the following languages: Scala, Python, Java.
• Extensive experience with data modeling and designing/supporting both streaming and batch ETL pipelines.
• Clear understanding of distributed computing, especially in databases.
• Hands-on in SQL and NOSQL experience.
• Experience with open-source technologies (Spark, Kafka, Presto, Hive, Cassandra etc.)
• Experience working on any of the Cloud platforms (GCP, AWS, Azure)
• Strong communications skills and presentation skills to C levels.
• Ability to manage numerous requests concurrently and be able to prioritize and deliver.

Adecco