Senior Data Architect

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

📋 Description

• Create and enhance scalable data models and foundational data structures that facilitate analytics, reporting, and AI projects.

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

• Develop and uphold semantic models, business definitions, metrics, hierarchies, and context layers.

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

• Prepare enterprise data assets for AI and advanced analytics applications through structure, metadata, documentation, quality controls, and governance.

• Design Snowflake role structures, access controls, and data-sharing frameworks.

• Establish data quality standards and controls to ensure trust, consistency, accuracy, completeness, and reliability.

• Enhance platform scalability by minimizing complexity, removing redundancy, and boosting maintainability.

• Keep technical documentation, data dictionaries, architecture diagrams, semantic definitions, governance artifacts, and development standards up to date.

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

• Propose improvements to the Sr. Manager, AI & Data.

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

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

• Collaborate with Data Products & Enablement, Business Applications, IT, Cybersecurity, business stakeholders, and external partners.

• Engage 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 discipline.

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

• Strong comprehension of data modeling, data architecture principles, and data governance practices.

• In-depth knowledge of semantic layer and context layer frameworks.

• Proficient SQL skills and experience with modern cloud data platforms.

• Experience in designing scalable and maintainable data structures for reporting, analytics, and AI applications.

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

• Proven ability to simplify complex information and effectively communicate technical concepts to business stakeholders.

• Strong 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

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

• Competitive salary packages.

• Comprehensive benefits.

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