Georgia-Pacific LLC · 23 hours ago
Lead Data Architect
Georgia-Pacific LLC is seeking a Lead Data Architect to shape the future of their enterprise data landscape. This role involves providing hands-on data architecture support for high-value initiatives, collaborating with various teams to ensure data models align with enterprise standards while meeting business needs.
Clean EnergyManufacturingNatural Resources
Responsibilities
Develop and own logical and physical data models across key domains, ensuring consistency, scalability, and alignment with enterprise standards
Translate business requirements into conceptual, logical, and physical data structures
Guide delivery teams on best practices for data modeling, schema design, and data lineage
Review and refactor existing models where needed to optimize performance, clarity, and alignment with future-state patterns
Act as the dedicated Data Architect for priority enterprise initiatives — those representing significant investment, complexity, or cross-domain impact
Provide architectural oversight from discovery through deployment
Ensure data design decisions reduce long-term technical debt and support enterprise data reuse
Collaborate with data engineers, analytics developers, BI teams, and product owners to ensure the implementation aligns with intended architecture
Create clear handoffs, reusable patterns, and model documentation to streamline delivery execution
Serve as a subject matter expert for modeling tools, naming conventions, structures, and data best practices
Work closely with the Data Governance team to evolve standards for data products, metadata, documentation, and modeling conventions
Help mature enterprise frameworks for data domain design, canonical models, and conformed dimensions
Drive reuse by identifying patterns, shared entities, and opportunities for consolidation
Partner with solution architects to ensure consistency between flow/pattern architecture (integration) and data architecture (modeling/structure)
Collaborate with the Data Platform team to ensure models are optimized for the target technologies and support performance, security, and data quality
Ensure models reflect data quality rules and support the AI-driven DQ tooling strategy
Provide metadata that feeds Alation and supports transparency and trust in enterprise data assets
Qualification
Required
Experience in data architecture, data modeling, or enterprise data design roles
Experience building logical and physical data models for relational and/or cloud-native platforms
Understanding of dimensional modeling, 3NF, and hybrid patterns
Hands-on experience supporting large-scale data engineering or analytics initiatives
Ability to translate business needs into structured data designs
Proven ability to simplify complex topics for technical and non-technical audiences
Preferred
Experience in cloud-based data platforms (Azure, AWS, or GCP), data lakes, and data lakehouses
Experience working with metadata management or data intelligence tools (e.g., Alation)
Familiarity with enterprise data governance, data product concepts, and data quality frameworks
Exposure to Denodo or similar data virtualization technologies
Experience in a federated or hybrid data architecture model
Experience in Agile environments or working with cross-functional teams in iterative, fast-paced delivery cycles
Benefits
Medical
Dental
Vision
Flexible spending and health savings accounts
Life insurance
ADD
Disability
Retirement
Paid vacation/time off
Educational assistance
Infertility assistance
Paid parental leave
Adoption assistance
Company
Georgia-Pacific LLC
Georgia-Pacific and its subsidiaries are among the world’s leading manufacturers and marketers of bath tissue, paper towels and napkins, tableware, paper-based packaging, cellulose, specialty fibers and building products.
H1B Sponsorship
Georgia-Pacific LLC has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (57)
2024 (37)
2023 (46)
2022 (44)
2021 (16)
2020 (21)
Funding
Current Stage
Late StageTotal Funding
unknown2005-11-13Acquired
Recent News
2026-01-22
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2026-01-11
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