Senior Data Architect

$155,000 - $220,000/Yr

cherre - New York, NY

Full-time - Senior

New York, NY

Real Estate

About the position

Cherre is the real estate industry's leading data management platform, powering more than $3 trillion AUM globally. Our end-to-end 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. We are 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, not top-down, approach.

Responsibilities

• Lead the development and implementation of data architecture standards and best practices across the organization.
• Conduct training sessions and workshops to educate and empower multiple teams on data standards and best practices.
• Work directly with teams to ensure understanding, buy-in, and proper implementation of data architecture strategies.
• Facilitate open communication and collaboration between teams to encourage a shared ownership of data standards.
• Assess and evaluate the effectiveness of data standards, making adjustments based on feedback and evolving needs.
• Stay abreast of the latest trends and technologies in data architecture and incorporate these into training and standards.

Requirements

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

Benefits

• Competitive Base Salary
• Equity
• Range of Healthcare Plans
• Paid Parental Leave
• Unlimited Vacation
• Flexible Work Schedule
• Compensation: $155,000-220,000+ / year