Data Architect

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $75k - $85k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

👻 Ghost score 0%

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Lakeside Book Company

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1864

🏭 Manufacturing

📦 Logistics

🤝 B2B

Manufacturing • Logistics • B2B

Lakeside Book Company is a book manufacturing and distribution company that provides end-to-end print production and supply‑chain services for publishers, retailers, and institutions. It offers book printing, premedia (prepress, color management, and design), embellishments, packaging and kitting, and global turnkey manufacturing solutions. Lakeside also provides warehousing, fulfillment, inventory and distribution services, sales and order processing, catalogs and shop-book retail services, and emphasizes sustainability (e. g. , PrintReleaf partnership) and personalized customer service.

📋 Description

• Define and maintain Lakeside's enterprise data architecture, including standards, models, integration patterns, roadmaps, and controls supporting BI, analytics, and AI. • Design scalable and reusable data models, schemas, semantic models, and trusted data products that provide consistent enterprise data. • Provide architectural leadership for Snowflake and related data services, focusing on performance, scalability, reliability, security, and lifecycle management. • Design and guide resilient ELT/ETL pipelines, APIs, integrations, and interfaces connecting enterprise applications and operational systems. • Establish standards for data quality, governance, metadata, lineage, security, privacy, access, monitoring, testing, and documentation. • Partner with business and Technology teams to translate requirements into sustainable data solutions while providing technical guidance and communicating architecture decisions and trade-offs.

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Data Engineering, or a related field. • 2+ years of experience in data architecture, data engineering, analytics, database development, or a related field. • Advanced SQL skills with strong knowledge of relational and analytical database design, dimensional modeling, normalized modeling, and modern data architecture. • Experience with ELT/ETL pipelines, data integrations, APIs, orchestration, and cloud data platforms; Snowflake experience preferred. • Knowledge of data governance, quality, metadata, lineage, security, privacy, semantic modeling, and role-based access controls. • Understanding of data architecture for BI and AI, including machine learning, generative AI, RAG, and AI agents; familiarity with Python, source control, testing, CI/CD, and monitoring preferred.