Data Architect

Job Title: Data Architect
Job Location: Washington DC - Onsite - Preferring a local to DMV resource

Description:
We are seeking an experienced Data Platform Architect to guide the design and implementation of a scalable data solution for Databricks on AWS. The ideal candidate will have a strong background in data architecture, data integration, and data processing frameworks, with prior hands-on expertise in Databricks and a passion for optimizing diverse workloads.

Key Responsibilities:

• Design the data architecture for the platform and organizational use cases, focusing on scalability, performance, and support for advanced analytics and data science workloads.
• Ensure the platform supports multi-cloud operations, data sharing, and integration with various data sources, including on-premises and cloud environments.
• Ensure the platform integrates with various data delivery mechanisms including architecting data delivery mechanisms such as streaming, batch, and leveraging APIs for encryption and decryption.
• Collaborate with Cloud Architects and Engineers to implement data governance, financial governance, and compliance features.
• Identify and architect automation approaches to simplify and accelerate CI/CD across multiple environments, onboarding of new users to the platform, creation of development workspaces, data quality enforcement, and integrated testing.
• Optimize the platform for handling diverse workloads, relational operations, and multi-model data processing.
• Develop and implement data ingestion and data processing frameworks, ensuring efficient and scalable data pipelines for common patterns.
• Architect and maintain data Lakehouse storage solutions, emphasizing best practices for data modeling and schema design.
• Provide guidance on best practices for data preparation exploration, and visualization within the platform.
• Lead client facing workshops and influence change and acceptance to modern data platform practices.
• Provide client-facing support, ensuring clear communication and understanding of technical solutions.
• Collaborate with stakeholders to document enterprise rollout strategies, data security blueprints, and architectural standards.

Qualifications:

• Degree in Computer Science, a technical field, or a related business field. Master degree preferred.
• 3+ years of experience in designing and leading Databricks implementations.
• 8+ years of experience in relevant technology roles, with a focus on data architecture.
• 5+ years in an advanced role, demonstrating leadership in guiding teams directly or indirectly.
• 5+ years of experience in architecting and maintaining big data platform architecture utilizing AWS Data & Analytics Services.
• Strong Data Modeling experience.
• Strong expertise in designing and supporting complex application architectures, including integration of disparate data sources.