System/Data Architect

About Us:
We are a commercial real estate property technology company pioneering the use of phygital twins. Our platform integrates reality capture services to deliver an immersive, data-rich experience, enabling multi-site retail operators to optimize decision-making and operations. As the team accelerates its growth trajectory, we are building a talented team to drive platform expansion, deliver innovative solutions, and establish industry leadership.

Position:
If you are highly structured, detail-oriented, and driven to master complex systems and data architectures, keep reading! We want you to bring your analytical mindset, precision, and commitment to exactness to our team.

We are looking for a System and Data Architect who thrives in a dynamic environment, with the ability to design, build and implement data solutions that will allow us to create the digital twin of the future. If you have a strong inquisitive nature, preferring to analyze data independently, draw precise conclusions, and build deep expertise in your domain, this is the role for you. It requires patience, persistence, and a high level of mental stamina to manage intricate technical work, while flexing to ensure our solutions are ready for the future.

In this role, you will play a pivotal part in designing and optimizing scalable system architectures and data solutions that support our platform's expansion into immersive 3D environments, AI/ML applications, and real-time data insights. You will be a key player in creating a methodical and stable environment, where consistency, order, and best practices drive success. If you excel at ensuring structure, efficiency, and security in data-driven systems, we want you on our team.

Major Opportunities & Key Accountabilities:
System & Data Architecture (Primary Focus):

• Develop and implement a comprehensive system and data architecture that aligns with our strategic
  goals and supports business transformation.
• Design scalable data models and database architectures that support real-time analytics, reporting, and
  AI/ML applications.
• Architect and optimize GraphQL, REST, and serverless APIs to ensure seamless data integration and
  efficient querying. 
• Establish best practices for data governance, security, and compliance in multi-tenant SaaS environments.
• Define event-driven architecture using AWS services such as Lambda, EventBridge, Kinesis, and SQS.
• Evaluate and implement modern data storage solutions (data warehouses, data lakes) to support
  advanced analytics and dashboards.
• Ensure data integrity, quality, and lifecycle management while optimizing data workflows.

Data Integration & Management:

• Lead efforts to integrate disparate data sources into a cohesive, secure, and accessible data ecosystem.
• Oversee the design and implementation of data pipelines, ETL/ELT processes, and cloud-native data
  orchestration.
• Implement best practices for data automation, transformation, and real-time processing.
• Ensure compliance with data governance frameworks, regulatory requirements, and our internal policies.

Cloud Infrastructure & Optimization:

• Architect and manage cloud-based solutions on AWS, leveraging services such as RDS, DynamoDB,
  Redshift, S3, and Glue.
• Optimize data storage and retrieval mechanisms for performance, scalability, and cost efficiency.
• Define strategies for data replication, caching (Redis, CloudFront), and high availability.
• Partner with DevOps to implement CI/CD pipelines, monitoring, and cloud cost optimization strategies.

Collaboration & Thought Leadership:

• Work closely with engineering, product, and business teams to align data architecture with business
  needs.
• Serve as a technical advisor, translating business requirements into scalable and maintainable technical
  solutions.
• Mentor engineers in data modeling, API design, and cloud-native best practices.
• Stay at the forefront of emerging trends in data architecture, cloud computing, and analytics.

Nature & Scope:

• Hybrid work environment with occasional travel as needed (less than 5%).
• Works cross-functionally with product, UX, back-end, and DevOps teams.
• No direct reports

Required Qualifications:

• Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
• 8+ years of experience in system architecture, data modeling, and cloud platforms.
• Proven experience in designing data architectures for large-scale, data-driven businesses.
• Experience working with geospatial data, including imagery, point clouds, and spatial databases.
• Expertise in GraphQL API design, optimization, and data fetching strategies.
• Strong background in relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) databases.
• Experience architecting event-driven and microservices-based systems.
• Deep knowledge of AWS cloud services, including Lambda, API Gateway, Redshift, Glue, and Step
  Functions.
• Experience with data pipeline frameworks and orchestration tools such as Apache Airflow, Kafka, or AWS Glue.

Preferred Qualifications:

• Experience with big data technologies such as Spark, Snowflake, or BigQuery.
• Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD pipelines.
• Background in data automation, machine learning workflows, and AI-driven analytics.
• Strong knowledge of data security best practices, including encryption, IAM, and API security.

Competencies

• Strategic Thinking: Define and implement long-term data and system architecture strategies.
• Problem-Solving: Break down complex challenges into scalable and actionable solutions.
• Technical Leadership: Inspire and mentor teams while driving architectural excellence.
• Collaboration: Build strong relationships across technical and business functions.
• Adaptability: Thrive in a dynamic, fast-growing environment with evolving priorities.
• Continuous Improvement: Identify opportunities for automation and optimization in cloud and data
  workflows.

Benefits

Competitive salary and benefits package.
Ï 401K matching option
Ï Generous paid time off and holidays.
Ï Opportunity for career advancement.
Ï A supportive, flexible and collaborative work environment.
Ï Ongoing training and professional development opportunities.

For this position you must be currently authorized to work in the United States. We do not sponsor for this position.