Databricks Architect - (Hybrid) in local offices
Dallas, Georgia, United States of America
Contract
1 week ago
Key skills
Data EngineeringAnalyticsDatabricksAzurePerformance OptimizationCI/CDLeadershipStakeholder ManagementMentoringCommunicationCollaboration
About this role
Job Role: Databricks Architect (Azure Data Engineer (Lakehouse Architect)
Location: (Hybrid) in local offices
12+ Months of contract
No C2C Only W2
Job Description:
Location: (Hybrid) in local offices
12+ Months of contract
No C2C Only W2
Job Description:
- We are seeking an experienced Databricks Solution Architect with strong hands-on expertise in designing and implementing Azure Lakehouse architectures.
- The ideal candidate must have extensive experience in Azure Data Engineering, Databricks, and enterprise-scale data platform modernization initiatives.
- This role requires a seasoned professional with a minimum of 14+ years of overall IT experience, including 10+ years of U.S. experience, capable of leading architecture, design, and implementation efforts for modern data platforms.
Key Responsibilities:
- Design and implement scalable Lakehouse architectures using Azure and Databricks.
- Lead end-to-end solution architecture for enterprise data engineering initiatives.
- Define data platform strategy, architecture standards, and best practices.
- Architect and optimize data ingestion, transformation, and analytics pipelines.
- Collaborate with business stakeholders, data engineers, and leadership teams to align technical solutions with business goals.
- Provide technical leadership and architectural guidance for Azure-based data solutions.
- Ensure data security, governance, performance, and scalability across the platform.
- Drive modernization of legacy data warehouses into cloud-native Lakehouse environments.
- Conduct architecture reviews, solution assessments, and technical design sessions.
- Mentor development teams and establish implementation standards.
Required Skills:
- 14+ years of overall IT experience
- 10+ years of U.S. experience (Mandatory)
- Strong expertise in Azure Data Engineering
- Extensive hands-on experience with Azure Cloud
- Advanced experience with Databricks
- Proven expertise in designing and implementing Lakehouse Architecture
- Strong Solution Architecture and Enterprise Data Platform experience
- Data Modeling and Data Integration expertise
- Experience with scalable cloud-based data platforms
- Strong understanding of data governance, security, and performance optimization
Preferred Qualifications:
- Azure certifications related to Data Engineering or Solution Architecture
- Experience with enterprise-scale cloud migration projects
- Knowledge of modern analytics and reporting platforms
- Experience working in large-scale distributed data environments
- Familiarity with CI/CD and DevOps practices for data platforms
Soft Skills:
- Excellent communication and stakeholder management skills
- Strong analytical and problem-solving abilities
- Ability to lead technical discussions and architecture reviews
- Strong collaboration and mentoring capabilities
- Ability to work independently and within cross-functional teams
Mandatory Skills:
- Azure Data Engineer
- Azure
- Databricks
- Lakehouse Architecture
- Solution Architect
- 14+ Years Overall Experience
- 10+ Years U.S. Experience
Best Regards:
Kesav N
Phone: +1-
Email:
Kesav N
Phone: +1-
Email: