Enterprise Data Architect

Smurfit Westrock • Atlanta, GA

1d

About The Position

The Enterprise Data Architect will shape Smurfit Westrock’s enterprise data ecosystem by driving architecture standards, governance, automation, and analytics enablement. The role establishes and evolves a scalable, governed data foundation for ERP integration, AI/ML enablement, SOX compliance, and future acquisitions.

The position leads enterprise data architecture and roadmap development; defines target-state capabilities across ingestion, processing, consumption, governance, and security for on-premises and cloud platforms; and creates modular, metadata-driven architectures for analytics, reporting, and real-time workflows. It also establishes data standards and stewardship, leads master data management strategy and implementation, and supports regulatory compliance, traceability, and audit readiness.

The Enterprise Data Architect standardizes integration patterns and automated data pipelines for BI, AI/ML, and operational analytics. The role supports analytics modernization and AI/ML platform readiness, advises business and IT leaders, facilitates governance councils and workshops, mentors colleagues and business users, and leads data harmonization for M&A, ERP programs, and cross-platform integrations.

Requirements

• Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field.
• At least 10 years of experience in Information Technology, including at least 3 years in enterprise data architecture or an equivalent leadership role.
• Proven experience delivering enterprise-scale data strategies, architectures, and governance frameworks.
• Deep knowledge of Data Lake, EDW, Data Warehouse, and MDM architectures.
• Deep knowledge of metadata management, data lineage, and data quality frameworks.
• Deep knowledge of integration patterns, including ETL/ELT, APIs, event streaming, batch, and real-time.
• Deep knowledge of compliance and governance standards such as SOX, GDPR, and CCPA.
• Deep knowledge of architecture frameworks and modeling such as TOGAF, DAMA, and ArchiMate.
• Strong interpersonal and executive communication skills.
• Ability to translate architectural direction into actionable strategy.
• Experience leading cross-functional teams and Centers of Excellence.
• Ability to engage stakeholders and enable change.

Nice To Haves

• Master's degree in a relevant field.
• Experience with preferred platforms and tools including Palantir, Databricks, Snowflake, AWS Glue/Redshift, and Azure Synapse.
• Experience with Qlik, Informatica, SAP, Boomi, or MuleSoft.
• Experience with DataOps and CI/CD pipeline tooling.
• Experience with data cataloging and lineage tools such as Collibra or Alation.

Responsibilities

• Lead the design and execution of enterprise-wide data architecture and roadmaps aligned with business goals, IT strategy, and compliance requirements.
• Establish target-state capabilities for data ingestion, processing, consumption, governance, and security across on-premises and cloud platforms.
• Develop scalable, modular, metadata-driven architectures for analytics, reporting, and real-time operational workflows.
• Define and enforce enterprise data standards, governance policies, and stewardship models with business and IT stakeholders.
• Lead master data management strategy and implementation to promote data consistency and integrity across systems.
• Drive compliance with SOX, GDPR, and data privacy frameworks, supporting data traceability and audit readiness.
• Establish principles and reusable patterns for automated data pipelines supporting self-service BI, AI/ML, and operational analytics.
• Standardize integration across source systems such as ERP, MES, CRM, and WMS, and data platforms using scalable frameworks and automation tools.
• Architect the foundation for analytics modernization, including real-time data, embedded analytics, and data science workloads.
• Define AI/ML platform strategy and readiness roadmap, ensuring data pipelines are clean, governed, and scalable for model training and inference.
• Advise business and IT leaders on data architecture and governance.
• Facilitate workshops and governance councils to align stakeholders, define guardrails, and promote a data-driven culture.
• Mentor architects, analysts, and business users to improve data literacy, architecture maturity, and adoption of best practices.
• Lead enterprise data harmonization for M&A activity, ERP programs, and cross-platform integrations.

Benefits

• Comprehensive training and learning and development opportunities.
• Attractive salary reflecting skills, competencies, and potential.
• Career opportunity with a global packaging company.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior