Remote Senior Staff Data and Storage Architect

Summary

Join EarnIn as a Data Architect and contribute to developing and maintaining our data strategy, ensuring data quality, and integrating data across various systems.

Requirements

• Master’s or PhD in Computer Science, Data Science, Information Systems, or a related field
• Proficiency in data modeling, database design, and data quality management. Familiarity with data management technologies and platforms
• Proven experience in data architecture, data governance, and data integration
• Ability to develop and implement a strategic data architecture that aligns with business goals
• Ability to address technology choice dilemmas and ensure the scalability, quality, and governance of data assets
• Experience in leading the adoption of new data technologies and collaborating with various stakeholders
• Strong communication skills and the ability to work effectively in a team environment

Responsibilities

• Develop Data Strategy: Align EarnIn’s data strategy with business goals to enhance decision-making and provide direction for future data projects
• Define and Enforce Data Governance: Establish robust data governance policies, standards, and best practices to ensure data integrity and compliance
• Establish Data Stewardship: Create and define data stewardship roles and responsibilities to promote accountability and ownership of data across the organization
• Design Data Integration Solutions: Implement solutions for seamless data flow across systems, breaking down data silos and improving data accessibility
• Ensure Data Quality: Define data quality metrics and standards to ensure the accuracy, completeness, and reliability of data
• Collaborate with Stakeholders: Work closely with business units, engineering teams, and other stakeholders to understand their data requirements and challenges
• Communicate Data Architecture Principles: Effectively communicate data architecture principles and standards to stakeholders to promote a data-driven culture
• Adopt New Data Technologies: Stay informed about industry trends, evaluate, and recommend new data management tools and platforms to enhance our data capabilities