Senior Data Architect

Data EngineerData EngineerFull TimeRemoteTeam 5,001-10,000Since 1959H1B SponsorCompany Site LinkedIn

Location

Colorado + 1 more

Posted

18 days ago

Salary

$135K - $175K / year

Bachelor Degree8 yrs expEnglishAzureCloudIo TMicroservicesMS SQL ServerNo SQLPythonSQLTerraform

Job Description

• 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

Job 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