Senior Data Architect

This is a fully remote position, open to applicants in Massachusetts.

📋 Description

• Design and enhance scalable data models and essential data structures for analytics, reporting, and AI projects.

• Convert isolated source-system data into standardized, cohesive datasets that are business-friendly.

• Develop and manage semantic models, business definitions, metrics, hierarchies, and contextual layers.

• Identify, prioritize, and integrate new data sources and business systems into the centralized data platform.

• Prepare enterprise data assets for use cases in AI and advanced analytics.

• Create frameworks for role design, access control, and data sharing within Snowflake.

• Establish data quality standards and controls.

• Enhance platform scalability, maintainability, reliability, governance, security, performance, and cost management.

• Produce and maintain technical documentation, data dictionaries, architecture diagrams, semantic definitions, governance artifacts, and development standards.

• Oversee centralized data models, semantic layers, data architecture standards, Snowflake access frameworks, and the implementation of data governance.

• Suggest enhancements to enterprise data structures, governance practices, data quality controls, access models, and scalability initiatives.

• Assist in addressing security exceptions, architecture deviations, data-sharing agreements, and governance policies with stakeholder approval.

• Escalate unresolved conflicts regarding data ownership, access, quality, architecture, and prioritization to the Sr. Manager, AI & Data.

• Collaborate with Business Applications, Information Technology, Cybersecurity, business stakeholders, external partners, and distributed teams.

⛳️ Requirements

• Bachelor's degree in Computer Science, Engineering, Data Analytics, Information Systems, or a related technical discipline.

• Over 5 years of experience in data architecture, data engineering, analytics engineering, business intelligence, or similar fields.

• In-depth knowledge of data modeling, data architecture principles, and data governance practices.

• Comprehensive understanding of semantic layer and context layer frameworks.

• Advanced SQL proficiency and experience with contemporary cloud data platforms.

• Proven experience in designing scalable and maintainable data structures that support reporting, analytics, and AI applications.

• Strong grasp of metadata management, master data concepts, role-based access controls, and enterprise data standards.

• Capability to simplify intricate information and effectively communicate technical concepts to business stakeholders.

• Excellent analytical, documentation, communication, and problem-solving abilities.

• Familiarity with Snowflake and dbt.

• Experience in developing semantic layers, governed metrics, or enterprise reporting frameworks.

• Knowledge of data governance frameworks, data catalog solutions, or stewardship programs.

• Experience supporting AI and machine learning initiatives through data preparation and architecture.

• Background in renewable energy, manufacturing, field service, or asset-intensive industries.

• Relevant certifications in Snowflake, Microsoft, DAMA, or data architecture.

🏝️ Benefits

• Competitive salaries.

• 100% employer-sponsored medical, dental, vision, life, and disability insurance.

• Occasional travel may be necessary for company meetings, workshops, vendor engagements, or enterprise data and AI initiatives.