Data Engineer Architect

Rooms To Go is seeking a senior Data Engineer Architect to lead the architectural design and ongoing evolution of scalable, high-performance cloud data platforms. In this onsite role in Brookhaven, GA, you will partner with data and business stakeholders to enable advanced analytics, AI/ML, and business intelligence with secure, compliant foundations.

• Lead the architectural design and development of enterprise-grade data platforms using Databricks
  , Delta Lake
  , and Azure Data Services
  .
• Define and enforce technical standards, design principles, and best practices to improve consistency, reusability, scalability, and maintainability
  .
• Architect and optimize data warehouse and lakehouse solutions using Snowflake
  , star schemas
  , and distributed data systems.
• Guide integration of real-time and batch pipelines for advanced analytics,
  ML model training
  , and reporting use cases.
• Design and implement secure, compliant, and high-performance data architectures aligned to data governance, privacy, and access-control requirements.
• Provide technical leadership for infrastructure as code
  , automated pipeline orchestration, and observability practices.
• Evaluate emerging data technologies, cloud capabilities, and architecture patterns, recommending adoption where appropriate.
• Mentor senior and mid-level data engineers, promote architectural rigor, and support continuous learning and technical excellence.
• Collaborate with data scientists, BI developers, enterprise architects, and business stakeholders to deliver aligned, high-impact solutions.
• Develop and maintain architectural documentation, including design blueprints, system diagrams, and roadmaps.
• Lead proof-of-concept efforts, architecture reviews, and technical deep dives to validate approaches and guide high-risk decisions.
• Troubleshoot complex architectural and performance issues to support resilience, cost efficiency, and overall system health.
• Share modern data architecture practices through internal/external forums and technical presentations.
• Perform other duties as required.

• 8-12 years of progressive data engineering experience, including leading architecture and implementation of large-scale, cloud-native data solutions.
• Expert proficiency with Databricks
  , including Delta Live Tables
  , Unity Catalog
  , and Spark performance tuning
  , plus Azure Data Services such as Azure Data Factory and Event Hubs
  .
• Mastery of data modeling, data warehousing, and big data processing, including dimensional modeling
  , streaming architectures
  , and data lakehouse patterns
  .
• Strong understanding of data governance
  , metadata management
  , security, and regulatory compliance in cloud environments.
• Familiarity with orchestration,
  infrastructure as code
  , including Terraform and Azure Resource Manager
  , and monitoring frameworks.
• Deep knowledge of Python
  , SQL
  , Spark
  , and distributed data systems.
• Ability to architect systems that support downstream AI/ML and business intelligence consumption layers.
• Track record of technical leadership on high-impact projects and mentoring senior engineers while influencing enterprise data strategy.
• Advanced skills in architectural design for performance, scalability, resilience, security, and cost optimization
  .
• Excellent analytical and problem-solving abilities for complex, cross-platform data challenges.
• Strong written, verbal, and presentation skills to communicate with technical and non-technical stakeholders.
• Ability to influence strategic direction and drive innovation in a fast-paced, evolving environment.
• Highly organized with the ability to manage competing priorities across teams and initiatives.
• Bachelor’s degree in computer science, data engineering, information systems, or a related technical field is required; an advanced…