OVERVIEW

We are seeking a skilled and innovative Enterprise Data Architect to join our dynamic team. In this role, you will be responsible for designing and implementing data architecture solutions that align with our business goals. You will play a critical role in managing our data assets, ensuring data integrity, and enabling effective analytics across the organization. The ideal candidate will have a strong background in database design, data warehousing, and analytics, with experience in both traditional and NoSQL databases.

SKILLS

• Proficiency in database design and management, including experience with both SQL and NoSQL databases.
• Strong knowledge of data warehousing concepts and practices.
• Experience with big data technologies such as Hadoop and Spark.
• Familiarity with analytics tools and techniques for deriving insights from large datasets.
• Understanding of Agile methodologies for project management.
• Ability to communicate complex technical concepts to non-technical stakeholders effectively.
• Strong problem-solving skills with a focus on innovative solutions.
• Experience in working with server architectures to support enterprise applications.
  Join us as we leverage the power of data to drive strategic initiatives within our organization!
  Job Type: Full-time
  Pay: $180,000.00 - $200,000.00 per year

Experience:

• Data Architecture: 10 years (Required)
• Data modeling: 10 years (Required)
• Enterprise architecture: 10 years (Required)

Ability to Commute:

• New York, NY 10001 (Required)

Work Location: In perso

• Design and implement robust data architecture frameworks to support enterprise-level applications.
• Collaborate with cross-functional teams to gather requirements and translate them into scalable data solutions.
• Develop and maintain data models, database designs, and data flow diagrams.
• Ensure the integrity, security, and availability of data across various platforms.
• Lead the integration of new technologies such as Hadoop and Spark into existing systems.
• Provide guidance on best practices for Agile methodologies in data management projects.
• Analyze complex datasets to provide actionable insights that drive business decisions.
• Mentor junior team members on database design principles and analytics techniques.