Senior Data Architect
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Job Description
Senior Data Architect building Snowflake and dbt data foundations for LG Energy Solution Vertech’s energy storage business. Enabling trusted analytics, reporting, governance, and AI across enterprise systems.
Responsibilities:
- 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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