Enterprise Data Management Architect/Technologist

• Develop the Data function s overall technology architecture, strategy and own the Client s data management roadmap
• Expand the strategic use of Snowflake in a way that brings out value to other technology teams and business
• Drive the firm s strategic migration to the cloud and enable scalable AI solutions to enhance decision-making and innovation
• Develop and harness new data tools and data analytics solutions, with a keen understanding of the right projects and tools to maximize operational and commercial outcomes

• Effective at leading, influencing and communicating with varying levels of expertise internally and externally
• Superior verbal and written communicator who can effectively toggle from teamwork to independent execution
• Highly collaborative and fosters a strong team-oriented approach.
• Ability to foster group problem-solving and solution creation with business and technical team members
• Ability to effectively drive business, culture, and technology change in a dynamic and complex operating environment

Requirements

• 10+ years minimum of related experience, Bachelor's degree preferred with master s or equivalent experience
• Proven expertise in building large scale systems and experience with Java, Kafka, Spark and related technologies
• Mastery of Big Data Ecosystem technologies with hands-on experience implementing data ingestion, storage, processing, and publication solutions.
• Hands-on experience with public and private cloud capabilities including Snowflake and Data Bricks preferred
• Proven foundation in data analytics, data engineering and modern Data technologies
• Proven technology and personal leadership experience in enterprise data governance, data security, data warehousing, data analytics
• Experience with data virtualization, production use of open-source technologies and external cloud deployment (e.g. AWS, Azure, Google Cloud, Snowflake) for data storage and compute capabilities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

• Develop the Data function s overall technology architecture, strategy and own the Client s data management roadmap
• Expand the strategic use of Snowflake in a way that brings out value to other technology teams and business
• Drive the firm s strategic migration to the cloud and enable scalable AI solutions to enhance decision-making and innovation
• Develop and harness new data tools and data analytics solutions, with a keen understanding of the right projects and tools to maximize operational and commercial outcomes

• Effective at leading, influencing and communicating with varying levels of expertise internally and externally
• Superior verbal and written communicator who can effectively toggle from teamwork to independent execution
• Highly collaborative and fosters a strong team-oriented approach.
• Ability to foster group problem-solving and solution creation with business and technical team members
• Ability to effectively drive business, culture, and technology change in a dynamic and complex operating environment

Requirements

• 10+ years minimum of related experience, Bachelor's degree preferred with master s or equivalent experience
• Proven expertise in building large scale systems and experience with Java, Kafka, Spark and related technologies
• Mastery of Big Data Ecosystem technologies with hands-on experience implementing data ingestion, storage, processing, and publication solutions.
• Hands-on experience with public and private cloud capabilities including Snowflake and Data Bricks preferred
• Proven foundation in data analytics, data engineering and modern Data technologies
• Proven technology and personal leadership experience in enterprise data governance, data security, data warehousing, data analytics
• Experience with data virtualization, production use of open-source technologies and external cloud deployment (e.g. AWS, Azure, Google Cloud, Snowflake) for data storage and compute capabilities

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.