Senior Data Architect

This is a fully remote position, open to applicants in Colorado, +1 more state.

📋 Description

• Define and take ownership of the architecture for cloud-centric data solutions, ensuring scalability, reliability, and high availability.

• Facilitate discussions regarding data architecture and collaborate with engineering, product, machine learning, and cross-functional teams.

• Design, construct, and uphold production datastores that support high-speed, high-volume industrial IoT and telematics data.

• Convert business and product needs into conceptual, logical, and physical data models.

• Promote best practices for data reliability, performance optimization, partitioning, indexing, and data quality.

• Assess customer and system data usage, identify inefficiencies, and suggest architectural enhancements.

• Guide and mentor engineers through design reviews, code evaluations, and technical advice.

• Articulate complex technical solutions to both technical and non-technical audiences, including leadership.

• Design cloud and data platforms that support generators, battery storage, and microgrid systems.

• Spearhead re-architecture initiatives for industrial IoT and telematics data systems.

• Shape platform strategy across product, machine learning, and engineering teams.

• Occasional travel may be required.

⛳️ Requirements

• A Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

• Over 8 years of experience across the data tier, from design to development and production support.

• At least 5 years of experience in a data architect role with a solid foundation in enterprise data architecture concepts.

• Demonstrated experience leading data architecture within production cloud environments, with a preference for Azure.

• Familiarity with high-speed, high-volume telematics or time-series data.

• Knowledge of Infrastructure as Code, preferably Terraform.

• Programming or scripting skills in Python, PowerShell, and/or T-SQL.

• Experience in supporting or enabling AI/ML initiatives.

• Understanding of data governance, data privacy, and compliance, including GDPR.

• Expertise in Microsoft SQL Server or similar relational databases at the enterprise level.

• Practical experience with at least one NoSQL database.

• Strong background in data warehouse, data lake, and lakehouse design patterns.

• Experience in designing and maintaining data pipelines.

• Profound knowledge of conceptual, logical, and physical data modeling.

• Strong understanding of performance tuning, indexing, and partitioning techniques.

• Familiarity with microservices and cloud-native data platforms.

• Excellent communication and interpersonal skills.

• Willingness to travel occasionally.

• Ability to perform frequent computer-based work, including periods of sitting, close vision, and focus adjustment.

• Capability to occasionally lift up to 25 pounds.

🏝️ Benefits

• Comprehensive health, dental, vision, 401k, and additional benefits.

• Volunteer Time Off program for charitable volunteer activities during company hours.

• Medical, dental, and vision insurance options.

• Life insurance coverage.

• Long-term disability benefits.

• Flexible spending accounts.

• Health savings accounts.

• Accrued paid time off.

• 8 paid holidays and 2 floating holidays.

• 401(k) retirement benefits.

• Variable compensation, including short-term and long-term incentives.

• Opportunity to contribute to cleaner, more sustainable power solutions.

• A collaborative work culture.

• Opportunities for mentoring and professional growth.