Data Architect

at  Treez Inc

Treez is not for everyone. Are you right for Treez?

The company values at Treez are:

• Stay Curious
• Present Solutions
• Embrace Simplicity
• Encourage Candor
• Drive to Outcomes

With SPEED, Treez team members are making an impact at our growing startup. We are motivated by our mission and do what it takes to get the job done. We need you to be as passionate as we are about making Treez the leader in powering the global cannabis economy. We are looking for hustlers, doers, people who see the goal and drive to it.
We are seeking a skilled and experienced Data Architect to join our dynamic team.

WHAT YOU WILL DO

As a Data Architect at Treez you will be responsible for designing the data architecture for our organization. You will collaborate with and mentor cross-functional teams, including engineers, analysts, and business stakeholders, to ensure the integrity, availability, and security of our data assets. Your expertise in data modeling, database design, and data integration will play a vital role in driving data-driven decision-making and supporting our business objectives..

HOW YOU WILL DO IT

• Develop and maintain an enterprise-wide data architecture strategy that aligns with the organization’s business goals and objectives. Define and implement data standards, principles, and guidelines for data modeling, database design, and data integration.
• Design and create logical and physical data models that meet the requirements of various business functions. Oversee the defining of data entities, relationships, attributes, and hierarchies to ensure data integrity and consistency across different systems and applications.
• Identify and design efficient data integration solutions to facilitate seamless near real time data flow between different systems and platforms. Develop strategies for data extraction, transformation, and loading, ensuring high data quality and reliability.
• Establish and enforce data governance policies and procedures to ensure compliance with regulatory requirements and industry best practices. Define data ownership, access controls, data retention policies, and data quality standards.
• Provide mentorship and guidance to engineers, and other team members. Share your expertise and knowledge to foster their professional growth and enhance their understanding of database design, SQL, query evaluation and performance tuning.
• Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders, to understand data requirements and translate them into actionable data architecture solutions. Effectively communicate complex technical concepts to non-technical stakeholders.
• Stay abreast of industry trends, emerging technologies, and best practices in data architecture and management. Evaluate and recommend new tools and technologies to enhance data processing, analytics, and visualization capabilities.
• Create and maintain comprehensive documentation of data models, data flows, data dictionaries, and technical specifications. Ensure that documentation is up to date and accessible to relevant stakeholders.