Senior Data Architect - Remote | Snowflake & AI Readiness

LG Energy Solution Vertech, Inc.; Westborough (MA); Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

100% employer sponsored medical,Dental

Vision insurance

Life and disability insurance

Job summary

LG Energy Solution Vertech, Inc. is seeking a Senior Data Architect to design and operate a centralized data foundation, enabling trusted analytics, reporting, and AI across the enterprise.

You will model data flows between operational systems and business-facing data products, expanding the data platform by onboarding new sources and defining common semantics. The role focuses on scalable patterns, governance, and cost management, with Snowflake and dbt as core technologies.

Qualifications

• 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 that support 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.

Responsibilities

• Central data architecture: Design and evolve scalable data models and foundational data structures that support analytics, reporting, and AI initiatives used by data products, data practitioners, and data consumers.
• Data normalization: Transform siloed source-system data into standardized, cohesive, business-friendly datasets that can be easily understood and consumed by technical and non-technical users.
• Semantic layer development: Design and maintain semantic models, business definitions, metrics, hierarchies, and context layers that ensure consistent interpretation of data across reporting and AI platforms.
• Data platform expansion: Expand the centralized data platform by identifying, prioritizing, and onboarding new data sources and incorporating additional business systems and datasets into the shared data model.
• AI data readiness: Prepare enterprise data assets for AI and advanced analytics use cases through improved structure, metadata management, contextual relationships, documentation, quality controls, and governance practices.
• Snowflake governance and access design: Develop scalable frameworks for Snowflake role design, access controls, and data-sharing models that balance usability, security, cost tracking, and long-term maintainability.
• Data quality frameworks: Define standards and controls that improve trust, consistency, accuracy, completeness, and reliability across enterprise data assets.
• Platform scalability: Identify opportunities to reduce complexity, eliminate redundancy, improve maintainability, and support long-term growth of enterprise data assets.
• Documentation and standards: Create and maintain technical documentation, data dictionaries, architecture diagrams, semantic definitions, governance artifacts, and development standards.

Skills

SQL

Data modeling

Data architecture

Data governance

Semantic layer

Cloud data platforms

Stakeholder communication

Architecture principles

Metadata management

Snowflake

dbt

Analytics engineering

Education

Bachelor’s degree in CS/Engineering/Data Analytics/IS

Snowflake certification

DAMA / data architecture certifications

Tools

Snowflake

dbt

Microsoft data stack

Job description

LG Energy Solution Vertech, Inc. is seeking a Senior Data Architect to design and operate a centralized data foundation, enabling trusted analytics, reporting, and AI across the enterprise.

You will model data flows between operational systems and business-facing data products, expanding the data platform by onboarding new sources and defining common semantics. The role focuses on scalable patterns, governance, and cost management, with Snowflake and dbt as core technologies.