Data Architect

Jenni Kayne is a California-based lifestyle brand that aims to empower an elevated approach to everyday living. Whether it’s our edited style ethos or coveted interiors sensibility, we work hard to create a world that's inviting and intentional. From our stores across the country to our operations and corporate teams, we believe in the power of a workplace that’s built on diversity and inclusion—where the varied voices and viewpointsof our community pave the way.

About This Role:

Jenni Kayne is looking for a Data Architect with expertise in data modeling, governance, BI, and deployment of enterprise Datawarehouse(dimensional model) using cloud technologies and modern data stack for enterprise self-service analytics and democratization of data. This is an exciting role for individuals looking for an entrepreneurial environment with clear ownership and opportunity to make direct business impact.

Role and Responsibilities:

As the Data Architect, your primary responsibilities include the following:

• Responsible for the enterprise data architecture, which includes dimensional data model for BI/Analytics, data lake and overall architecture recommendation for data governance, security, and access.
• Responsible for the back-end model design for Business Intelligence platforms like Looker, Tableau, Power BI etc.to ensure metric consistency and scale.
• Collaborate with Data engineering team on the data pipelines stack including, governance, quality, I/CD, security (CCPA, PCI etc.)
• Manage the data catalog and access as a data steward.
• Lead and provide practical experience in the maturity of cloud-native data services such as AWS, Snowflake, Airflow, etc.
• Responsible for definition, creation, and maintenance of architecture artifacts of Enterprise Data solutions including architecture, data dictionary, data flow diagrams, Conceptual/Logical Data models, data dictionaries, and database design.
• Establish and maintain models and artifacts that describe how data is processed, stored, and utilized across the organization.
• Proactively, develop and evangelize the design and development of future state data architecture.
• Participate in Architecture, Design, and Code reviews.
• Partner with data and business leadership and other workstreams to identify and manage issues, risks, and data dependencies.
• Partner with cross functional teams to analyze data tracking from new and existing applications and propose solutions to integrate the new data sources in Data Lake and EDW.
• Continuously monitor the system growth (data engineering, BI, Analytics, Data Sciences) in Cloud ( AWS) in terms of computer and storage and propose best practices for a leaner and scalable architecture.

Qualifications and Requirements:

• Bachelor’s degree in computer science, Engineering, Math, Statistics or related discipline, or an equivalent in education and experience.
• 7+ years in-depth, hands-on knowledge and execution of foundational data architectures such as data warehouses, data modeling, data mining, ETL, and in-memory models.
• Proficient knowledge in modern data architecture that supports advanced analytics including Snowflake, Data Bricks etc.
• Ability to thrive in a fast-paced environment, responding quickly to oversight and following instruction closely, while anticipating needs and developing efficiencies on repeat tasks.
• Excellent problem-solving, critical thinking and analytics skills with the ability to work in a cross-functional team.
• Quick self-motivated learner who can initiate and drive new data solutions and patterns in anticipation of management and client goals and objectives with little or no supervision.
• Self-directed and comfortable supporting the data needs of multiple teams, systems and products.
• Must be able to adapt to change in direction and priorities in a project and deadline-oriented environment.
• Expert knowledge of data modeling, documentation and governance tools and techniques.
• Sophisticated oral and written communication skills and experience presenting to different levels of leadership.
• Sophisticated analytical skills related to cost / benefit analysis of large dollar hardware and software implementations.
• Experience working in an Agile/Scrum environment.

Physical Requirements:

• Prolonged periods sitting at a desk and working on a computer
• Must be able to move and lift heavy objects (15 pounds or more) from time to time as required

Additional Notes:

This job description is not all inclusive. In addition, Kayne, LLC DBA Jenni Kayne reserves the right to amend this job description at any time. Kayne, LLC DBA Jenni Kayne is committed to a diverse and inclusive work environment. 

The annual base salary range for this position is $210,000 - $250,000. The base salary is determined by experience, education, skills, and location.