Data Architect

• Title: Data Architect
• Location: USA - Remote
• Duration: FTE

Job Description:

• Role Overview
• Seeking a Senior Data Engineering Lead to spearhead a strategic Data Foundation and Platform Modernization initiative. This leadership role will be responsible for designing and implementing a modern Databricks Lakehouse Platform, establishing enterprise-wide data standards, and defining a Unified Data Model (UDM) for the Supply Chain Management (SCM) domain.
• The ideal candidate will combine deep technical expertise with architectural leadership, enabling the transformation of complex data ecosystems into scalable, governed, and business-ready data platforms.
• Key ResponsibilitiesData Platform Modernization
• Lead the design and implementation of a modern enterprise data platform leveraging the Databricks Lakehouse architecture.
• Drive migration and modernization initiatives from legacy platforms to cloud-native data ecosystems.
• Define best practices for scalability, performance, reliability, security, and cost optimization.
• Unified Data Model Architecture
• Design and govern a comprehensive Supply Chain Management (SCM) Unified Data Model spanning source systems, ingestion, transformation, semantic, and consumption layers.
• Establish enterprise standards across Bronze, Silver, Gold, and Semantic layers following Medallion Architecture principles.
• Ensure alignment of business definitions, metrics, and reporting standards across the organization.
• Data Governance & Quality
• Implement robust data governance frameworks covering metadata management, lineage, security, and compliance.
• Define and enforce enterprise data quality standards, validation processes, and monitoring mechanisms.
• Promote reusability of data assets and enterprise-wide data stewardship practices.
• Leadership & Delivery Management
• Lead and mentor high-performing onsite and offshore engineering teams.
• Drive architectural decisions, technical standards, and delivery excellence across multiple workstreams.
• Foster a culture of innovation, collaboration, and continuous improvement.
• Stakeholder Collaboration
• Partner with business leaders, product owners, and technical stakeholders to understand strategic priorities and translate them into scalable data solutions.
• Serve as a trusted advisor for data strategy, platform transformation, and analytics enablement initiatives.
• Communicate architectural vision, progress, risks, and recommendations to executive stakeholders.
• Required QualificationsExtensive experience with the Databricks ecosystem, including:
• Databricks Lakehouse
• Delta Lake
• Unity Catalog
• Delta Live Tables (DLT)
• Databricks SQL
• PySpark
• Strong expertise in:
• Enterprise Data Architecture
• Data Modeling and Data Warehousing
• Semantic Layer Design
• Data Platform Modernization
• Proven experience designing and implementing Medallion Architecture (Bronze, Silver, Gold) patterns.
• Strong understanding of:
• Data Governance
• Data Lineage
• Metadata Management
• Data Quality Frameworks
• Security and Access Controls
• Demonstrated ability to lead large-scale enterprise data transformation programs.
• Preferred Qualifications12+ years of experience in Data Engineering, Data Architecture, Data Platform Modernization, or related disciplines.
• Proven track record leading enterprise-scale Databricks Lakehouse implementations.
• Experience designing Supply Chain Management (SCM) data models and semantic consumption layers.
• Strong consulting and client-facing experience with the ability to influence senior stakeholders.
• Excellent leadership, communication, and problem-solving skills.
• Experience managing globally distributed teams and complex technology programs.