Data Engineer Architect

DataJobs; Brookhaven (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k) with company match

Associate discounts including家具

Company paid life and disability保险

Paid time off

Employee Assistance Program

Wellness Programs

Job summary

Rooms To Go seeks a senior Data Engineer Architect to lead architectural design and evolve scalable cloud data platforms in an onsite Brookhaven, GA role. You will partner with data scientists, BI teams, and stakeholders to enable advanced analytics, AI/ML, and BI with secure foundations.

The role demands expertise in Databricks, Delta Lake, Snowflake, and cloud data services, plus strong leadership and governance capabilities.

Qualifications

• 8–12 years 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; know Azure Data Factory and Event Hubs.

Responsibilities

• 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 for 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 analytics, ML model training, and reporting.
• Design secure, compliant, high-performance data architectures aligned to governance and access control.

Skills

Data architecture

Data engineering

Leadership

Cloud data platforms

ETL/ELT

Education

Bachelor's degree in CS/IS

Tools

Databricks

Delta Lake

Azure Data Services

Snowflake

Terraform

Unity Catalog

Python

SQL

Spark

Job description

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