Description

Work Flexibility: Hybrid

What you will do:

Define and evolve the enterprise Data & Analytics architecture vision, standards, and multi-year roadmap, leveraging Azure, Databricks, and Lakehouse principles to deliver secure, scalable, and cost-efficient platforms.
Lead architecture for complex, business-critical initiatives spanning multiple domains, ensuring seamless integration and harmonization of SAP and non-SAP data across the enterprise ecosystem.
Design and modernize enterprise data solutions that accurately replicate complex operational processes while supporting both current and historical business data needs.
Drive large-scale transformation programs by migrating commercial, manufacturing, and compensation reporting platforms to governed, Azure-native architectures and overseeing legacy platform decommissioning.
Establish and govern enterprise-wide architecture standards, including data lineage, classification, security, access controls, integration frameworks, and data governance practices.
Ensure all solutions meet regulatory, compliance, and security requirements, including SOX, GxP, SDLC, validation, and change management standards.
Partner with senior Engineering, Product, and Business leaders to shape technology strategy, evaluate emerging technologies, and define the future direction of the data platform landscape.
Advance the organization's AI readiness by enabling governed enterprise data consumption, semantic models, retrieval-augmented solutions, and responsible adoption of generative and agentic AI capabilities.
Serve as the highest-level technical authority for complex architectural decisions while championing best practices, reusable design patterns, and engineering excellence across teams.
Represent Data & Analytics in enterprise architecture forums and mentor Principal Architects and senior engineers, fostering architectural maturity, innovation, and technical leadership across the organization.

What you need:

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required; advanced degree
14+ years of experience in Enterprise Data Architecture, Solution Architecture, or Data Engineering, with a proven track record of defining and delivering enterprise-scale technology strategies and multi-year transformation roadmaps with minimum 3 years of People Management Experience
Deep expertise in Azure, Databricks, Lakehouse architectures, and modern cloud data platforms, with hands-on experience building secure, scalable, and governed data ecosystems.
Strong experience integrating SAP and enterprise ERP platforms across commercial, supply chain, manufacturing, and finance domains, coupled with expertise in data governance, security, and regulatory compliance.
Demonstrated ability to architect and lead complex, cross-functional transformation initiatives, translating ambiguous business challenges into pragmatic, future-ready technology solutions.
Advanced knowledge of data modeling, analytics, and BI architectures, including Lakehouse design patterns, data warehousing, semantic models, and enterprise reporting frameworks.
Understanding of emerging AI and Generative AI technologies, including enterprise knowledge retrieval, vector search, retrieval-augmented generation (RAG), and modern AI platform architectures.
Proven executive leadership skills with the ability to influence senior stakeholders, drive architectural governance, build consensus across diverse teams, and communicate complex technical concepts to business leaders.
Recognized as a trusted technical leader and mentor, with experience elevating architecture practices, coaching senior architects and engineers, and fostering engineering excellence across the organization.
Certifications such as TOGAF, Azure Solutions/Data Architect, Databricks, or Microsoft Fabric are highly preferred.

Travel Percentage: 10%

Senior Manager, Data Architecture

Description

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