Senior Data Architect

Summary

Join us as a Senior Data Architect to design and implement the organization's data management framework. You will lead the strategic design of enterprise-scale data ecosystems, architecting complex, multi-platform solutions using cutting-edge technologies. This role involves providing technical leadership, mentoring junior architects, and collaborating with executive stakeholders. You will ensure compliance with regulations and optimize data flows for efficient analysis and reporting. Your expertise in data modeling and design will shape how the organization leverages data-driven insights for competitive advantage. The position requires significant experience in data architecture and a strong understanding of various database technologies and cloud services.

Requirements

• 7+ years of experience in the data architect field
• Bachelor’s degree in a STEM program
• Leadership & Team Management
• Risk Management
• Conflict Resolution
• Strategic Planning & Leadership
• Resource Management
• Change Management
• Strong knowledge of database structure systems and data mining
• Familiarity with various database technologies like SQL, NoSQL, Big Data technologies (Hadoop, Spark), and cloud services (AWS, Azure)
• Expertise in data modeling and design tools
• Deep knowledge of database design and structures, data modeling, and data warehousing
• Expertise in data management technologies and a broad understanding of big data solutions
• Familiarity with tools and languages like SQL, UML (Unified Modeling Language), XML, and enterprise architecture frameworks

Responsibilities

• Design and create the overall data architecture (databases, large scale processing systems)
• Define how data will be stored, consumed, integrated, and managed by different data entities and IT systems
• Ensure the data strategies and architectures are in compliance with regulatory requirements
• Work with business executives to ensure the data architecture aligns with business requirements
• Ensure that data flows efficiently through the pipelines, making it usable for further analysis and reporting
• Implement, maintain, and update data management tools and systems
• Optimize data retrieval, develop dashboards, reports and perform database maintenance tasks
• Collaborate closely with data scientists, helping to ensure that the organization's data infrastructure meets the requirements of complex data analytics

Preferred Qualifications

• AWS Cloud Practitioner
• AWS Solutions Architect Associate
• SnowPro Core
• AWS SysOps Associate
• AWS Security Specialist
• Databricks Hadoop Migration Architect
• SnowPro Advanced Data Scientist

Benefits

• Medical, dental, and vision health insurances
• Short term disability, long term disability and life insurances
• 401k with Company match
• Paid time off (PTO) (120 hours PTO that accrue over one year)
• Paid time off for major holidays (14 days per year)