Technical Data Architect

Position: Technical Data Architect

Location: Washington DC (4 days onsite in a week)

Role Overview:

We are seeking a highly skilled and experienced professional to join our team as a Data Architect/Engineer. The ideal candidate will be responsible for designing, implementing, and optimizing modern data solutions, ensuring scalability, consistency, and performance. This role involves collaboration with cross-functional teams to deliver high-quality, business-specific data solutions using cutting-edge technologies.

Key Responsibilities:

Create reference architectures and standards to enable effective delivery solutions.
Implement modern data lakehouse architecture using Delta Lake to ensure data reliability and performance.
Design scalable data pipelines using Azure Databricks for ETL/ELT processes and real-time data integration.
Define data models for medallion architectures to support structured and unstructured data workflows.
Develop solutions for performance and cost optimization by leveraging cloud technologies.
Design automation solutions to ensure reusability, consistency, and efficiency across data processes.
Define approaches for data self-service using tools like Power BI and Databricks.
Establish integration patterns for Power BI to enhance reporting and analytics capabilities.
Collaborate with Data Product Managers to determine business-specific application needs and requirements.
Compile and implement application development plans for new or existing applications.
Lead the application development team, supervising the design, testing, and modification stages.
Demonstrate application prototypes and integrate user feedback to refine and improve solutions.

Qualifications and Skills:

Proven experience in designing and implementing modern data architectures, including data lakehouses and medallion architectures.
Expertise in Azure Databricks, Delta Lake, and cloud technologies for data engineering and analytics.
Strong knowledge of ETL/ELT processes, real-time data integration, and scalable pipeline design.
Proficiency in Power BI for creating data self-service solutions and integration patterns.
Solid understanding of automation frameworks and best practices for reusability and consistency.
Excellent leadership and collaboration skills to work with cross-functional teams and stakeholders.
Strong problem-solving abilities with a focus on performance optimization and cost efficiency.
Experience in application development, including planning, design, testing, and deployment.

Preferred Qualifications: