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.

What you’ll do

• 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.

What you bring

• 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 degree is preferred.
• Industry certifications such as Databricks Certified Data Engineer Professional, Microsoft Fabric Data Engineer Associate, or Azure Solutions Architect Expert are highly desirable.

Tools and technologies

• Databricks, Delta Lake, Delta Live Tables, Unity Catalog
• Azure Data Services (Azure Data Factory, Event Hubs)
• Snowflake, star schemas
• Real-time and batch data pipelines, ML model training, AI/ML, business intelligence
• Dimensional modeling, streaming architectures, data lakehouse patterns
• Python, SQL, Spark, distributed data systems
• Terraform, Azure Resource Manager, infrastructure as code
• Monitoring frameworks

Benefits

• Medical, dental, and vision insurance
• 401(k) with company match
• Associate discounts including furniture
• Company paid life and disability insurance
• Paid time off
• Employee Assistance Program
• Wellness Programs