Expertise in Dimensional Data Modeling and Data Lakehouse Architecture
Proficient in Databricks and Python
Strong understanding of data governance, security, and compliance
Experience in leading enterprise-wide data initiatives
Responsibilities
Lead the design and deployment of dimensional data models and lakehouse architectures
Drive architectural decisions for data storage and integration
Partner with stakeholders to gather requirements for data solutions
Oversee data governance and compliance in architecture implementations
Mentor junior architects and data engineers
Collaborate with engineering and analytics teams to optimize data workflows
Conduct code reviews and prepare technical documentation
Benefits
Opportunities for professional development and mentorship
Access to cutting-edge technologies and tools
Collaborative work environment with cross-functional teams
Focus on innovation and continuous improvement
Involvement in enterprise-wide data initiatives
Full Job Description
Role description
Job Summary
Seeking an Associate Principal with 11 to 15 years of experience in Data Architecture specializing in Dimensional Data Modeling Data Lakehouse Architecture Databricks and Python to lead enterprisewide data initiatives
Job Description
Design and develop scalable and robust data architecture frameworks to support enterprise data strategies Implement dimensional data modeling techniques to optimize data warehousing and business intelligence solutions Architect and manage data lakehouse environments leveraging Databricks and Python for advanced data processing Collaborate with crossfunctional teams to integrate data solutions across various platforms and technologies Ensure alignment of data architecture with organizational standards security and compliance requirements Stay updated with emerging trends and best practices in data architecture modeling and lakehouse technologies Focus on creating maintainable scalable and highperformance data solutions to meet evolving business needs
Roles and Responsibilities
Lead the design development and deployment of dimensional data models and data lakehouse architectures for complex enterprise data environments
Drive architectural decisions related to data storage processing and integration using Databricks and Python
Partner with business stakeholders and technical teams to gather requirements and translate them into effective data solutions
Oversee data governance security and compliance within data architecture implementations
Mentor and provide technical leadership to junior architects and data engineers
Collaborate closely with data engineering and analytics teams to optimize data pipelines and workflows
Conduct code reviews design discussions and prepare comprehensive technical documentation
Promote continuous improvement innovation and adoption of best practices within the data architecture practice