Primary Architect Data Platform

Job Summary We are seeking a highly experienced Primary Architect Data Platform to lead the design and implementation of modern, secure, and scalable enterprise data ecosystems. The ideal candidate will possess deep expertise in Medallion Architecture, cloud platforms and security, Data Vault modeling, enterprise data exposure strategies, and advanced data modeling practices. This role will serve as the architectural authority across data initiatives, partnering with business stakeholders, engineering teams, governance bodies, and leadership to drive data strategy, platform excellence, and enterprise data transformation. Key Responsibilities Define and implement enterprise-grade Medallion Architecture (Bronze, Silver, and Gold layers) to support scalable and governed data platforms. Architect high-performance data pipelines and lakehouse environments. Establish architectural standards, reusable frameworks, and best practices for enterprise data solutions. Design and implement secure data solutions across cloud platforms, including AWS, Azure, and Google Cloud Platform. Ensure compliance with enterprise security, governance, and regulatory requirements. Define and enforce security controls including role-based access control (RBAC), data encryption at rest and in transit, zero-trust principles, and secure data-sharing mechanisms. Collaborate with Information Security teams to maintain and enhance cloud security posture. Lead the implementation of Data Vault 2.0 methodologies, including Hubs, Links, and Satellites. Translate business requirements into scalable logical and physical data models. Design optimized dimensional models, including star and snowflake schemas, to support reporting and analytics. Establish data modeling standards, governance processes, and design review practices. Architect scalable and governed data exposure mechanisms, including APIs, data-sharing frameworks, semantic layers, and BI integrations. Define strategies for data democratization, controlled data access, metadata management, data lineage, and observability. Ensure performance optimization and adherence to service-level agreements for downstream data consumers. Embed data governance principles into architecture and solution design. Implement data quality frameworks, monitoring mechanisms, and metadata management strategies. Engage with business leaders and stakeholders to align data architecture with enterprise objectives. Provide architectural guidance, mentorship, and oversight to engineering teams. Collaborate with vendors and system integrators to ensure adherence to architectural standards and design compliance. Required Qualifications 12+ years of experience in Data Architecture, Enterprise Data Engineering, or related disciplines. Deep expertise in Medallion Architecture, including Bronze, Silver, and Gold data layers. Proven experience implementing Data Vault modeling methodologies in enterprise environments. Strong understanding of enterprise data exposure and data consumption strategies. Advanced knowledge of conceptual, logical, and physical data modeling. Extensive experience with cloud platforms such as AWS, Azure, and Google Cloud Platform. Hands-on expertise in cloud security architecture for enterprise data platforms. Experience with lakehouse architectures, including Databricks, Snowflake, BigQuery, Redshift, or similar technologies. Strong SQL skills and expertise in distributed data processing. Experience designing batch and streaming data architectures. Familiarity with data orchestration tools and frameworks. Knowledge of data masking, tokenization, encryption standards, and identity and access management (IAM) best practices. Experience implementing data governance frameworks and compliance standards. Strong architectural design, analytical, and problem-solving skills. Excellent communication and stakeholder management abilities. Demonstrated ability to influence and collaborate across cross-functional teams. Experience mentoring technical teams and driving architectural best practices. Preferred Qualifications Proven experience leading large-scale enterprise data transformation initiatives. Experience working within regulated industries. Strong understanding of enterprise governance, metadata management, data lineage, and observability practices. Experience establishing enterprise-wide data modeling standards and governance processes. Strategic mindset with the ability to balance long-term vision and execution. Experience building secure and governed enterprise data-sharing frameworks. Certifications Cloud Architect Certification (AWS, Azure, or Google Cloud Platform) Preferred Data Vault 2.0 Certification Preferred TOGAF or equivalent Architecture Certification Preferred Education: Bachelors Degree Certification: AWS Cloud Architect , Azure Cloud Architect , Google Cloud Platform Cloud Architect , Data Vault 2.0 , TOGAF