Data Engineer Architect

Build and evolve scalable, high-performance cloud data platforms that enable advanced analytics, AI/ML, and business intelligence. In this onsite role in Brookhaven, GA, you will provide technical leadership across architecture, engineering standards, security, and performance, working with cross-functional teams to deliver secure and compliant data solutions at enterprise scale.

What you will 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 modern data warehouse and lakehouse solutions, including Snowflake and star schemas, along with distributed data systems.
• Guide integration of real-time and batch data pipelines for advanced analytics, ML model training, and reporting.
• Design secure, compliant, and high-performance architectures aligned to data governance, privacy, and access-control standards.
• Provide technical leadership for infrastructure as code, automated pipeline orchestration, and observability practices.
• Evaluate emerging data technologies, cloud capabilities, and design patterns, recommending adoption when appropriate.
• Mentor senior and mid-level data engineers, promoting architectural rigor and continuous learning.
• 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, technical deep dives, and architecture reviews to validate approaches and guide high-risk decisions.
• Troubleshoot complex architectural and performance issues, improving resilience, cost efficiency, and system health.
• Share knowledge through internal and external forums, technical presentations, and other opportunities.
• Perform other duties as required.

What you bring

• 8-12 years of progressive data engineering experience, including extensive experience leading architecture and implementation of large-scale, cloud-native data solutions.
• Expert proficiency with Databricks, including Delta Live Tables and Unity Catalog, plus Spark performance tuning, and strong experience with Azure Data Services such as Azure Data Factory and Event Hubs.
• Mastery of data modeling 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 tools, infrastructure as code including Terraform and Azure Resource Manager, and monitoring frameworks.
• Deep knowledge of Python, SQL, Spark, and distributed data systems.
• Understanding of how to architect systems supporting downstream AI/ML and business intelligence consumption layers.
• Ability to evaluate emerging tools and apply them to evolving business needs.
• Proven technical leadership on high-impact projects, including mentoring and influencing enterprise data strategy.
• Advanced architectural design skills focused on performance, scalability, resilience, security, and cost optimization.
• Excellent analytical and problem-solving skills for complex cross-platform data challenges.
• Strong written, verbal, and presentation skills for technical and non-technical stakeholders.
• Demonstrated ability to influence strategic direction and drive innovation in a fast-paced 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 required; advanced degree 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

Rooms To Go 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, and more.