Remote Senior Data Architect

Description:

• Cherre is the real estate industry's leading data management platform, powering more than $3 trillion AUM globally.
• The platform helps clients connect, transform, analyze, and act on trusted data to increase efficiencies, reduce risks, gain visibility into market trends, and make strategic moves in response to changing market conditions.
• The company is looking for a seasoned Senior Data Architect with a passion for mentoring and a proven track record of implementing data standards across multiple teams.
• The ideal candidate will have extensive experience in training teams, rolling out new data standards, and ensuring that these are embraced at all levels of the organization through a collaborative approach.
• Responsibilities include leading the development and implementation of data architecture standards and best practices across the organization.
• The role involves conducting training sessions and workshops to educate and empower multiple teams on data standards and best practices.
• The Senior Data Architect will work directly with teams to ensure understanding, buy-in, and proper implementation of data architecture strategies.
• The position requires facilitating open communication and collaboration between teams to encourage shared ownership of data standards.
• The candidate will assess and evaluate the effectiveness of data standards, making adjustments based on feedback and evolving needs.
• Staying abreast of the latest trends and technologies in data architecture and incorporating these into training and standards is also essential.

Requirements:

• A Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field is required.
• A minimum of 7 years of experience in data architecture is necessary, with at least 3 years in a leadership role.
• Demonstrated experience in training teams and rolling out data standards in a multi-team environment is essential.
• Strong interpersonal skills with an emphasis on relationship-building, negotiation, and consensus-building are required.
• Excellent communication skills, both written and verbal, with the ability to convey complex data concepts in understandable terms are necessary.
• Experience with modern data technologies and architectures, including cloud services and big data platforms, is required.

Benefits:

• The position offers a competitive base salary.
• Employees will receive equity as part of their compensation package.
• A range of healthcare plans is available to employees.
• Paid parental leave is provided.
• Employees enjoy unlimited vacation.
• A flexible work schedule is offered to accommodate various needs.
• The compensation range for this position is $155,000-220,000+ per year.