About the Role We are seeking an experienced Data Architect to lead the design and management of our Snowflake environment. This role is essential to delivering real-time operational intelligence and driving our long-term data strategy. You will be responsible for building the event-driven foundation that supports downstream aggregations, behavioral analytics, and intelligent automation. A key part of your work will be enabling our Customer 360 initiative , where we unify customer data from various channels to power segmentation, personalization, and compliance-aware experiences. You will architect and maintain a data platform that scales with growing automation, AI integrations, and evolving compliance requirements. Key Responsibilities Snowflake Leadership Design, build, and optimize scalable schemas in Snowflake to support operational, analytical, and AI workflows. Set best practices for performance, cost optimization, and secure access control. Data Integration & Pipelines Build and maintain robust pipelines to integrate data from Segment, automation platforms, webhooks, CRMs, third-party APIs, and internal systems. Own the ingestion of structured and semi-structured data across cloud platforms. Customer 360 Program Ownership Architect and implement a unified data model to consolidate all customer interaction and behavioral data. Enable analytics, segmentation, and personalization based on a real-time, queryable customer profile. Governance, Security, and Compliance Implement and monitor data privacy, encryption, masking, and access control policies. Collaborate with compliance teams to align with standards like GDPR, SOC 2, and HIPAA where applicable. Collaboration & Documentation Partner with workflow developers and analysts to ensure data structures are usable and reliable. Maintain thorough documentation of schemas, pipeline logic, and data flows. Observability & Monitoring Build logging and lineage tracking into all core pipelines. Define SLAs and alerting mechanisms for data availability and pipeline performance. Qualifications 5+ years of experience in data architecture, engineering, or platform roles. Deep expertise with Snowflake and modern data stack technologies. Experience working with event-based systems (e.g., Segment) and workflow tools (e.g., Make.com, Zapier). Proficiency in SQL and experience designing data pipelines for event-driven systems, including downstream aggregations and transformations. Solid understanding of data governance, security, and compliance best practices. Excellent communication and documentation skills. Comfortable working cross-functionally in fast-paced, remote environments. Nice to Have Experience supporting AI/ML data pipelines or LLM-based applications. Familiarity with reverse ETL tools, observability platforms, or operational analytics stacks. Why Join Us? Help shape the data foundation of a forward-thinking, AI-integrated system. Collaborate with a multidisciplinary team of engineers, analysts, and automation experts. Work in a flexible, fully remote environment with a strong culture of autonomy and accountability. Apply Now to lead a foundational pillar of our intelligent automation architecture. #J-18808-Ljbffr
MedStar Health