Define and own the architecture for cloud-based data solutions, ensuring scalability, reliability, and high availability
Lead data architecture discussions and collaborate closely with engineering, product, ML, and cross-functional stakeholders
Design, build, and maintain production datastores supporting high-speed, high-volume industrial IoT and telematics data
Translate business and product requirements into conceptual, logical, and physical data models
Drive best practices for data reliability, performance tuning, partitioning, indexing, and data quality
Analyze how customers and systems use data, identify inefficiencies, and propose architectural improvements
Coach and mentor engineers on data architecture best practices through design reviews, code reviews, and technical guidance
Clearly explain complex technical solutions to both technical and non-technical audiences, including leadership

Requirements

Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
8+ years of experience working across the data tier, from design through development and production support
5+ years of experience in a data architect role with strong grounding in enterprise data architecture concepts
Proven experience leading data architecture in production cloud environments (Azure preferred)
Experience working with high-speed, high-volume telematics or time-series data
Familiarity with Infrastructure as Code, preferably Terraform
Programming or scripting experience in Python, PowerShell, and/or T-SQL
Experience supporting or enabling AI/ML projects
Knowledge of data governance, data privacy, and compliance (e.g., GDPR)
Enterprise-level expertise with Microsoft SQL Server or similar relational databases
Hands-on experience with at least one NoSQL database (e.g., key-value, document, graph, or column store)
Strong experience with data warehouse, data lake, and lakehouse design patterns
Experience designing and maintaining data pipelines
Deep knowledge of data modeling (conceptual, logical, physical)
Strong understanding of performance tuning, indexing, and partitioning strategies
Passion for modern data architecture, microservices, and cloud-native data platforms
A naturally curious, growth-oriented mindset with a desire to mentor and elevate others
Excellent communication and interpersonal skills, with the ability to influence and collaborate across teams

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data architecturecloud-based data solutionsdata modelingperformance tuningindexingpartitioningdata pipelinesPythonPowerShellT-SQL

Soft Skills

coachingmentoringcommunicationcollaborationinfluencingproblem-solvinganalytical thinkingcuriositygrowth-oriented mindsettechnical guidance

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineering