Senior Data Architect

🕒 August 28

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 16%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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LG Energy Solution Vertech, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🏭 Manufacturing

💼 Consulting

📦 Logistics

Manufacturing • Consulting • Logistics

LG Energy Solution Vertech, Inc. is the US energy storage division of LG Energy Solution, specializing in integrated energy storage systems and services. They are committed to delivering reliable, bankable solutions while fostering strong partnerships based on transparency and trust. With a focus on customer experience, LG Energy Solution Vertech enhances project success through their expertise in battery technology and system integration, and provides comprehensive support throughout the lifecycle of energy storage projects.

📋 Description

• Design and evolve scalable data models and foundational data structures supporting analytics, reporting, and AI initiatives • Transform siloed source-system data into standardized, cohesive, business-friendly datasets • Design and maintain semantic models, business definitions, metrics, hierarchies, and context layers • Identify, prioritize, and onboard new data sources and business systems into the centralized data platform • Prepare enterprise data assets for AI and advanced analytics use cases through structure, metadata, documentation, quality controls, and governance • Develop Snowflake role-design, access-control, and data-sharing frameworks • Define data quality standards and controls for trust, consistency, accuracy, completeness, and reliability • Improve platform scalability by reducing complexity, eliminating redundancy, and improving maintainability • Maintain technical documentation, data dictionaries, architecture diagrams, semantic definitions, governance artifacts, and development standards • Own centralized data models, semantic layer, data architecture standards, Snowflake access frameworks, and data governance implementation • Recommend improvements to the Sr. Manager, AI & Data • Support security exceptions, architecture deviations, data-sharing agreements, and governance policies with stakeholder approval • Escalate unresolved data ownership, access, quality, architecture, and prioritization conflicts to the Sr. Manager, AI & Data • Collaborate with Data Products & Enablement, Business Applications, IT, Cybersecurity, business stakeholders, and external partners • Participate in cross-functional meetings, technical design sessions, governance discussions, stakeholder workshops, and data architecture reviews

🎯 Requirements

• Bachelor's degree in Computer Science, Engineering, Data Analytics, Information Systems, or a related technical field • 5+ years of experience in data architecture, data engineering, analytics engineering, business intelligence, or related disciplines • Strong understanding of data modeling, data architecture principles, and data governance practices • Strong understanding of semantic layer and context layer frameworks • Advanced SQL skills and experience working with modern cloud data platforms • Experience designing scalable and maintainable data structures supporting reporting, analytics, and AI use cases • Strong understanding of metadata management, master data concepts, role-based access controls, and enterprise data standards • Demonstrated ability to simplify complex information and communicate technical concepts effectively to business stakeholders • Strong analytical, documentation, communication, and problem-solving skills • Experience with Snowflake and dbt • Experience developing semantic layers, governed metrics, or enterprise reporting frameworks • Familiarity with data governance frameworks, data catalog solutions, or stewardship programs • Experience supporting AI and machine learning use cases through data preparation and architecture • Experience within renewable energy, manufacturing, field service, or asset-intensive industries • Relevant Snowflake, Microsoft, DAMA, or data architecture certifications

🏖️ Benefits

• 100% employer sponsored medical, dental, vision, life and disability insurance • Competitive salaries • Generous benefits • Occasional travel for company meetings, workshops, vendor engagements, or enterprise data and AI initiatives

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