Director, Data Architecture

As the Director of Data Architecture, you will design, build, and scale the data platform that powers enterprise-wide analytics, innovation and AI. You will blend technical expertise with strategic thinking to deliver trusted high-quality, and actionable data across the organization.  ESSENTIAL DUTIES AND RESPONSIBILITIES:Architect & Evolve the Data Ecosystem: Define reference architectures, canonical data models, and integration patterns to establish a consistent and agile data foundation Build, optimize, and expand a modern data lake that supports diverse business scenarios and drives measurable outcomes Evaluate, curate, and integrate modern data stack technologies to speed delivery, enhance capabilities, and maximize business value Collaborate with business teams to understand objectives, define data requirements, and deliver actionable insights Build Transformational Data Solutions: Design, deliver, and optimize scalable data pipelines, APIs, and real-time streaming frameworks to support analytics and business critical insights Embed data quality, lineage, metadata management, and observability into all solutions for trusted and transparent data Prepare, structure, and enrich enterprise data to enable AI, ML, and predictive analytics use cases Architect ETL/ELT pipelines and reusable ingestion and transformation frameworks that support automation and AI-driven workflows Develop analytical frameworks and prototype data models that support complex business decision-making Continuous Improvement: Identify and resolve data integrity issues; partner with various teams to drive long term upstream fixes. Lead Data Governance, Security & Trust: Partner with security and compliance teams to establish secure, well-managed, and highly accessible data environments Implement data security and access controls and governance models Success in this role looks like: A scalable, resilient, and future ready data architecture that accelerates innovation and business impact Organization-wide access to trusted, high-quality data that empowers decision-making and experimentation Data governance, security, and privacy are deeply embedded into every system and process Broad adoption of AI and advanced analytics