Engineer Jobs in Brookhaven, GA

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Data Engineer Architect

Rooms To Go Brookhaven, GA

Brookhaven, GA

Today

Full time Analytics Application Security Artificial Intelligence

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Job Description

Lead the architectural design and evolution of secure, scalable cloud data platforms supporting analytics, AI/ML, and business intelligence.

Responsibilities

Design and develop 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, including Snowflake and star schemas, plus distributed data system patterns
Lead integration of real-time and batch data pipelines for analytics, ML model training, and reporting use cases
Design secure, compliant, high-performance data 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; recommend adoption when appropriate
Mentor senior and mid-level data engineers; promote architectural rigor and continuous learning
Collaborate with data scientists, BI developers, enterprise architects, and business stakeholders to deliver aligned, high-impact solutions
Create and maintain architectural documentation, including design blueprints, system diagrams, and roadmaps
Lead proof-of-concept work, technical deep dives, and architecture reviews to validate approaches and guide high-risk decisions
Troubleshoot complex architectural and performance issues across the data ecosystem, focusing on resilience, cost efficiency, and system health
Share knowledge through internal and external forums, technical presentations, and other engineering events
Perform other duties as required

Requirements

8-12 years of progressive data engineering experience, including extensive leadership of large-scale, cloud-native data solution architecture and implementation
Expert proficiency with Databricks, including Delta Live Tables, Unity Catalog, and Spark performance tuning
Deep experience with Azure Data Services, including Azure Data Factory and Event Hubs
Strong mastery of data modeling, warehousing, and big data processing (including dimensional modeling, streaming architectures, and data lakehouse patterns)
Working knowledge 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 for downstream AI/ML and business intelligence consumption layers
Proven record of technical leadership on high-impact projects, including mentoring senior engineers and influencing enterprise data strategies
Advanced architectural design capability across performance, scalability, resilience, security, and cost optimization
Excellent written, verbal, and presentation skills for technical and non-technical stakeholders
Strong analytical and problem-solving skills for complex cross-platform data challenges
Highly organized with experience managing competing priorities across teams and initiatives
Bachelor’s degree in computer science, data engineering, information systems, or related technical field (advanced degree preferred)
Industry certifications highly desirable, such as Databricks Certified Data Engineer Professional, Microsoft Fabric Data Engineer Associate, or Azure Solutions Architect Expert

Technologies

Databricks
Delta Lake
Azure Data Services
Snowflake
star schemas
real-time and batch data pipelines
Delta Live Tables
Unity Catalog
Spark performance tuning
Azure Data Factory
Event Hubs
dimensional modeling
streaming architectures
data lakehouse patterns
Python
SQL
Spark
distributed data systems
Terraform
Azure Resource Manager
infrastructure as code
monitoring frameworks
ML model training
AI/ML
business intelligence

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

Location & Experience

Location: Brookhaven, GA (onsite)
Minimum experience: 8 years

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