Data Architect

Data Architect (Principal Level) Overview The Data Architect is a senior, hands‑on technical leader within a global, multi‑product organization. This role focuses on a centralized data analytics and intelligence platform, responsible for refining and unifying data to support enterprise reporting and AI/LLM‑driven outcomes. The position combines deep technical execution with architecture, design leadership, and team mentorship. Key Responsibilities Serve as the technical lead for a centralized analytics and intelligence solution Design and implement scalable data architectures supporting analytics and AI initiatives Refine, rationalize, and coalesce data from multiple source systems into unified destinations Map multiple source databases to data warehouses and analytics platforms Define and implement data models that enable consistent reporting outcomes Write and maintain data transformation logic using Python Build and execute ETL/ELT pipelines using enterprise data integration tools Own data pipelines end to end, including execution, monitoring, and optimization Automate and operationalize data pipelines using CI/CD tools such as Jenkins Establish best practices for data quality, governance, and consistency Collaborate across engineering, product, and platform teams with varied tech stacks Influence and set technical direction while remaining fully hands‑on Mentor engineers and analysts across teams Required Experience Strong background in data architecture, data engineering, or analytics engineering Hands‑on Python experience in production data environments Experience with enterprise ETL/ELT tooling and data warehousing Experience implementing CI/CD automation for data pipelines Proven ability to operate at a Principal or technical lead level Strong communication and technical leadership skills #J-18808-Ljbffr