Senior Data Architect

🕒 August 28

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

💵 $150k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 6%

What it means: how likely this posting is sitting open without active hiring.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

⚡ Energy

🔧 Hardware

🤝 B2B

Energy • Hardware • B2B

LG Energy Solution Vertech is the U. S. energy storage division of LG Energy Solution that designs, supplies, integrates, and services grid-scale battery energy storage systems (BESS). It offers vertically integrated battery and system technology backed by LG Energy Solution’s battery supply, system-level warranties and lifetime services (monitoring, O&M) via its AEROS™ suite, and U. S. -based engineering and support teams. The company positions itself as a single-vendor, bankable partner for utility and project developers, emphasizing a simplified contracting process, long-term customer relationships, and transparency. Public materials cite roughly 19 GWh of integrated U. S. projects and about 30 GWh of batteries globally in installed, in-construction, or contracting stages.

📋 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