Job SummaryWe are seeking a highly seasoned Data Architect (Individual Contributor) with 20+ years of hands-on experience spanning enterprise data platforms, AI data architecture, data governance, and data quality. The ideal candidate is a self-driven, collaborative, and deeply technical leader who thrives on partnering with business and technology stakeholders to design and deliver enterprise-scale data and AI solutions.
In this senior individual-contributor role, you will shape the enterprise data and AI strategy, advance core data capabilities, and lead the end-to-end execution of complex, cross-functional initiatives. This position carries significant architectural ownership and influence, requiring someone who can think strategically while remaining highly engaged in technical execution.
ResponsibilitiesEnterprise Data Strategy & Architecture
- Define the target-state Data and AI architecture aligned with business goals and technology strategy.
- Establish architectural standards, principles, and best practices across the data ecosystem.
- Develop and maintain a multi-year roadmap covering data platforms, integrations, governance, and AI enablement.
Stakeholder Collaboration & Leadership
- Partner closely with business and technical stakeholders to understand needs, define requirements, and co-create data solutions that deliver measurable outcomes.
- Translate complex technical concepts into clear, executive-ready communication.
- Provide architectural leadership and thought partnership across cross-functional teams.
- Analytical and structured thinker-comfortable navigating ambiguity and solving complex data problems.
- Highly self-directed, organized, and capable of independently driving strategic and technical workstreams.
Data Governance & Quality
- Design and implement enterprise data governance frameworks, including data ownership, stewardship, policy development, and operating models.
- Define data quality processes, including profiling, validation, controls, and lineage.
- Collaborate with security, compliance, and legal teams to ensure adherence to regulatory standards and privacy requirements.
- Establish and enforce data localization controls, ensuring data residency, sovereignty, and regional storage/processing requirements are met across all relevant jurisdictions.
Innovation and Continuous Improvement
- Stay current emerging technologies and trends across Data Cloud, AI, and ML evaluating opportunities for adoption.
- Develop reusable architectural patterns, accelerators, and reference designs to streamline delivery.
- Continuously refine the data and AI architecture to support business growth, agility, and innovation.
Minimum Qualifications- A bachelor's degree and 10 years of professional work experience (or equivalent experience) is required.
Additional Qualifications - Experience standing up enterprise data platforms or AI/ML ecosystems.
- Industry certifications in cloud architecture or data engineering.
- Experience with responsible AI, data ethics, or regulatory compliance.
