Senior Data Architect – North America

🕒 November 6

⏰ Full Time

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Lateral Group's careers page ↗Lateral Group's careers page, not through a job board

First seen by Remote Rocketship November 6

Still open on Lateral Group's site. Checked 1 hour ago.

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Logo of Lateral Group

Lateral Group

201 - 500 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lateral Group is a profitable, award-winning design and technology company with over 20 years of experience designing and building digital products and transforming businesses. A globally distributed team of 200–300 engineers, designers and product specialists, the company offers product strategy, UX/UI, frontend and backend engineering, mobile development, and AI/ML capabilities to deliver high-quality, client-facing software solutions on time and on budget. Lateral Group primarily serves other organizations, partnering with clients to launch ventures and modernize products across industries.

📋 Description

• Assess and shape the Snowflake data platform architecture • Define target architecture across raw, staging, and mart layers • Establish naming and data-grain standards • Design approaches for corrections and late-arriving data • Model general ledger activity, charts of accounts, and account hierarchies for financial statements and management reporting • Work with finance, investment, and operations stakeholders to translate business needs into scalable data designs • Define ingestion, transformation, and orchestration patterns across 40+ sources • Address data lineage, data quality, and testing • Guide Snowflake warehouse sizing, query performance, and cost management • Run design reviews and produce design documentation, diagrams, decisions, and trade-offs • Mentor data engineers and set technical standards • Shape data governance, data cataloging, and AI-enabled use cases • Participate in interviews and a take-home work trial as part of the hiring process

🎯 Requirements

• 7+ years in data engineering, data architecture, or database engineering, with ownership of production data platforms • Deep hands-on experience with a cloud data warehouse; Snowflake preferred, Databricks or similar considered • Experience with performance tuning and cost management • Strong data modeling skills, including grain definition, dimensional modeling, layered architectures, corrections, and late-arriving data • Advanced SQL and efficient schema design for high-volume environments • Experience designing ETL/ELT pipelines and integrations across many sources • Experience with dbt or similar transformation frameworks • Experience with Airflow, Dagster, or similar orchestration tools • Experience modeling general ledger data, charts of accounts, and account hierarchies for financial or management reporting • Ability to diagnose and improve platforms not originally built by the candidate • Experience with testing, data quality, lineage, and clear design documentation • Strong English communication skills • Comfort with remote, asynchronous work across time zones • Practical working relationship with AI tools for designing, building, and documenting • Ability to work with ambiguity, shifting priorities, self-management, and continuous feedback

🏖️ Benefits

• Meaningful products with measurable impact • Support for professional growth, exploring new paths, and greater responsibility • Self-managed, distributed work environment • Flexible asynchronous work across time zones • No burnout or crunch; sustainable high-quality work • Profitable, independent company with over two decades of stability • Variety of projects and fresh challenges • Talented, kind, collaborative team culture • Remote work arrangement

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