What are the responsibilities and job description for the Data Architect position at Donato Technologies Inc?
Position: Data Architect
Location: NYC
Visa: open (No CPT)
Location: NYC
Visa: open (No CPT)
Job Description:
• Serve as a lead architect for strategic data initiatives, and collaborate effectively with other architects, product managers, and technology teams to deliver innovative, impactful, scalable, and robust platforms, services, and frameworks.
• Identify opportunities to adopt methodologies that improve our agility and quality in the delivery of large-scale analytics solutions.
• Evaluate emerging data technologies and frameworks, identify, and clearly describe the benefits of adopting them, and collaborate with product teams to develop a roadmap for adoption.
• Serve as a lead architect for strategic data initiatives, and collaborate effectively with other architects, product managers, and technology teams to deliver innovative, impactful, scalable, and robust platforms, services, and frameworks.
• Identify opportunities to adopt methodologies that improve our agility and quality in the delivery of large-scale analytics solutions.
• Evaluate emerging data technologies and frameworks, identify, and clearly describe the benefits of adopting them, and collaborate with product teams to develop a roadmap for adoption.
Technical Skills:
• Experience with building large-scale Data Warehouses and Business Intelligence platforms.
• Hands-on experience with developing and managing distributed systems in the cloud using open-source technologies
• Experience with AWS, Azure or other cloud platforms.
• Knowledge of common design patterns, models, and architecture used in Big Data processing.
• Strong grasp on fundamental data structures and algorithms.
• Experience in developing distributed systems leveraging OO and functional programming languages
• Hands-on experience in development in the Hadoop ecosystem, preferably Spark.
• Experience with and deep understanding of distributed databases such as Redshift, Snowflake, Vertica, Teradata, etc.
• Knowledge and experience in designing and developing RESTful services.
• Experience in partnering with stakeholders, product managers, architects, and engineers in building and managing data environments that are complex, enterprise-wide, multi-tenant, and host a large volume of data.
• Great team player with excellent written & verbal communication skills
• Exposure to messaging platforms such as Kafka and Apache Pulsar is preferred.
• Experience with Linux/Unix system administration preferred.
• Experience with building large-scale Data Warehouses and Business Intelligence platforms.
• Hands-on experience with developing and managing distributed systems in the cloud using open-source technologies
• Experience with AWS, Azure or other cloud platforms.
• Knowledge of common design patterns, models, and architecture used in Big Data processing.
• Strong grasp on fundamental data structures and algorithms.
• Experience in developing distributed systems leveraging OO and functional programming languages
• Hands-on experience in development in the Hadoop ecosystem, preferably Spark.
• Experience with and deep understanding of distributed databases such as Redshift, Snowflake, Vertica, Teradata, etc.
• Knowledge and experience in designing and developing RESTful services.
• Experience in partnering with stakeholders, product managers, architects, and engineers in building and managing data environments that are complex, enterprise-wide, multi-tenant, and host a large volume of data.
• Great team player with excellent written & verbal communication skills
• Exposure to messaging platforms such as Kafka and Apache Pulsar is preferred.
• Experience with Linux/Unix system administration preferred.
Benefits:
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