Data Platform Architect

Job Title: Data Platform Architect Location: Washington, DC – Onsite Expected Duration: 1 Year contract with strong possibility of extension Job Overview: 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 API’s 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. • Experience in documenting enterprise rollout strategies and developing data security blueprints. • Excellent communication skills