Enterprise Information Architect I

L.L.Bean • Freeport, ME

13d • $120,200 - $150,200 • Hybrid

About The Position

L.L.Bean is seeking an EIM Architect dedicated to its Enterprise Data Platform (EDP), a modern, GCP-native platform supporting migration from a legacy on-premises EDW and development of new enterprise data products across marketing, customer, supply chain, and other retail domains. This hands-on senior role designs end-to-end data solutions across ingestion, transformation, and consumption, and partners with data engineers, product teams, and business stakeholders to deliver trustworthy, scalable data products.

The role translates business needs into conceptual, logical, and physical designs; makes practical Google Cloud service decisions; and supports teams in implementing scalable solutions. The architect works with the EIM Architecture team to adopt and evolve platform standards and serves as a technical leader for EDP. The position may be hybrid at L.L.Bean's headquarters in Freeport, Maine, or remote from the approved U.S. states listed in the posting.

Requirements

• Bachelor's degree in a relevant field or equivalent work experience.
• At least 8 years of overall IT experience, including significant hands-on delivery on modern data platforms, and at least 3 years in a solution architect role.
• Hands-on experience with GCP data services, including BigQuery modeling, optimization, cost and performance practices, Dataflow, Cloud Composer, Dataform, and Cloud Storage.
• Expertise across the data management lifecycle, including conceptual, logical, and physical data modeling, source-to-target mapping, transformation design, and data product structure.
• Strong foundation in dimensional modeling, star schemas, metric definitions, and consumption-ready data structures.
• Strong SQL skills, including designing and reasoning about complex queries and transformations on large datasets.
• Working knowledge of GCP security and access design, including IAM, least privilege, and domain- or dataset-based access.
• Ability to work across architecture and implementation by defining designs, prototyping when needed, guiding engineers, and reviewing builds against design intent.
• Understanding of integration and pipeline patterns, including batch and streaming ingestion, ELT/ETL, orchestration, error handling, retries, and observability.
• Understanding of data privacy, security, and compliance principles, including least privilege, encryption at rest and in transit, and PII/PCI considerations.
• Working knowledge of CI/CD, Git version control, and modern DataOps practices.
• Strong collaboration and communication skills, including explaining design tradeoffs to technical and non-technical stakeholders and translating ambiguous requirements into concrete designs.

Nice To Haves

• Experience in retail, consumer, or omnichannel domains, such as customer, product, inventory, orders, pricing, promotions, or loyalty.
• Experience with platform modernization or EDW-to-GCP migration programs of comparable scale.
• Familiarity with semantic layers, data catalog or metadata platforms, and governance workflows.
• Exposure to LLM-enabled or agentic tools and patterns for AI-ready data products.
• Working proficiency in Python for prototyping and pipeline support.
• GCP certification, particularly Professional Data Engineer or Professional Cloud Architect.
• Log analysis and observability experience, such as Cloud Logging/Monitoring or Splunk, for incident triage and root-cause analysis.

Responsibilities

• Design end-to-end EDP data solutions for migration and new use cases, from conceptual through logical and physical models.
• Define source-to-target mappings and transformation designs, addressing data types, nulls, defaults, slowly changing dimensions, and business rules.
• Select and design GCP services, including BigQuery, Dataflow, Cloud Composer, Dataform, and Cloud Storage, balancing performance, cost, security, and operability.
• Design dimensional and analytics-ready data models, including star schemas and fact/dimension structures, to support BI and downstream consumption.
• Apply security, access, and least-privilege principles at dataset and domain levels in accordance with platform standards.
• Provide hands-on design guidance to technical leads and data engineers, help resolve tradeoffs, and review implementations against agreed designs.
• Work with product managers, business analysts, and subject-matter experts to turn business requirements into executable solution designs and data product definitions.
• Partner with quality engineering leads and engineers to incorporate validation, reconciliation strategies, and data quality expectations into solution designs.
• Collaborate with the EIM Architecture team to adopt platform standards, identify gaps or exceptions, and contribute reusable patterns based on delivery experience.
• Create high- and low-level design documents, sequence and data-flow diagrams, and mapping specifications; lead solution design reviews and document decisions and tradeoffs in Confluence.
• Contribute to AI and GenAI enablement on EDP where useful, including metadata-driven workflows, AI-ready data products, and consumption patterns for AI and data-agent use cases.
• Evaluate GCP tools and techniques and recommend practical improvements that align with security, cost, and reliability standards.
• Work in an Agile/Kanban model using Jira and Confluence to deliver incremental outcomes and establish durable patterns and standards.
• Follow workplace health and safety policies and procedures, report unsafe conditions or at-risk behavior, and work safely.

Benefits

• Benefits package with programs and perks designed to support health and financial goals.
• Support for maintaining work-life balance and recharging outdoors.

What This Job Offers

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