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:

• Advanced certifications in Azure or other cloud platforms.
• Hands-on experience with modern data engineering tools and frameworks.
• Familiarity with Agile methodologies and DevOps practices.