The Lead Data & Analytics Architect is responsible for defining, designing, and governing the enterprise data ecosystem across cloud, on‑premises, and hybrid environments. The role establishes the long‑term technology vision and innovation roadmap for analytics, data engineering, and data platform capabilities, enabling advanced analytics, real‑time and streaming use cases, and AI/ML workloads. The architect partners with business analysts, data engineers, data governance, data domain leaders, and analytics teams to translate business requirements into scalable, maintainable technical designs that improve data discoverability, usability, and trust. This includes defining reference architectures, canonical data models, and integration patterns that support enterprise analytics and operational reporting. The role also establishes and enforces technical standards for data engineering, ELT/ETL pipelines, metadata management, data quality, observability, governance, and security to ensure consistent implementation across domains and platforms. This includes providing architectural leadership for Lakehouse and modern data platform solutions, event‑driven architectures, API‑based integrations, and real‑time data pipelines. Additional responsibilities include evaluating emerging technologies, optimizing storage and compute strategies, defining governance and lineage frameworks, and guiding engineering teams in delivering resilient, cloud‑native data services. All solutions must align with enterprise architecture principles while meeting the evolving needs of data consumers across the enterprise.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees