Kinaxis · 1 day ago
Technical Data Architect, Platform & Data Products
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years expKinaxis is a global leader in end-to-end supply chain management, dedicated to solving significant challenges in the supply chain sector. The Technical Data Architect will lead the definition and implementation of modern cloud-based data architecture while collaborating with cross-functional teams to ensure data quality and governance across various workloads.
AnalyticsAutomotiveEnterprise SoftwareInformation TechnologySoftwareSupply Chain Management
Responsibilities
Define the modern cloud-based data architecture (on Databricks Lakehouse and GCP/Azure) with cross-functional teams, owning key architectural decisions and validating them in production
Architect and operationalize Medallion (Bronze–Silver–Gold) data models ensuring governance, data quality, and reusability across analytical and ML workloads
Combine data engineering and architecture expertise to design, develop, and deploy modern data warehouse and Lakehouse solutions, driving initiatives in data preparation, integration, exploration, and modeling
Validate architectural decisions by personally implementing selected foundational components (e.g., ingestion frameworks, Medallion layer contracts, CI/CD templates)
Participate in Architecture Review Boards, interface with other Cloud Architects and act as the technical liaison for the department
Design, develop, and deliver complete data solutions, combining strong engineering execution with architectural design, managing pipelines, models, and workflows from ingestion through presentation, ensuring performance and cost efficiency
Establish best practices and consistency across various Data on Cloud solutions
Design and build highly reusable and scalable cloud-native data ecosystems
Assist in the development of comprehensive and strategic business cases used at management and executive levels for funding and scoping decisions on data solutions
Understand data technology trends and the practical application of existing, new, and emerging technologies to enable new and evolving business needs
Partner closely with leadership and business stakeholders as a trusted and influential evangelist to identify important questions, define key metrics, cultivate a data driven and AI-ready culture
Design and implement data security measures to protect sensitive information
Work collaboratively with Data and Cloud Governance specialists to align on rules, processes, and standards, implementing strong governance through Unity Catalog, metadata management, and lineage tracking, while maintaining clear documentation of data architecture, flows, and dependencies
Design the lifecycle management process to seamlessly handle Python package and API dependency version changes
Qualification
Required
BS or BA in Computer Science, Software Engineering, or demonstrated equivalent experience
10+ years of experience in data architecture and engineering within high-tech or SaaS environments, with demonstrated ownership of enterprise-scale data platforms and solutions in production
Strong hands-on expertise in modern cloud data architecture and engineering, including direct implementation of core platform components, leveraging the Databricks Lakehouse Platform (Delta Lake, Unity Catalog, Delta Live Tables, Databricks SQL) and Google Cloud Platform (BigQuery, Dataflow, Dataproc, Pub/Sub, Composer) to build and optimize scalable, governed, and high-performance data pipelines and models
Proficient in modern data engineering practices, including Medallion design, CI/CD automation (GitHub, Cloud Build), metadata and lineage management, data modeling and governance, and both streaming and batch data processing
Familiarity with AI/ML and analytics enablement, ensuring data readiness for model training, feature engineering, and intelligent insights
Strong understanding of data governance, data quality, and compliance frameworks, with experience implementing standards through cataloging and lineage tools
Experience deploying and operating cloud infrastructure, with the ability to collaborate effectively with Cloud and Infrastructure Architects to align design, security, and performance requirements
Strong written, verbal, and interpersonal communication skills
Highly adaptable, agile, and resilient in managing multiple concurrent projects; proactively seeks feedback to ensure alignment and continuous improvement
Preferred
Certifications such as Google Cloud Professional Data Engineer or Cloud Architect, Databricks Certified Data Engineer (Professional), dbt, Looker, Terraform, FinOps, or Cloud Security are good to have
Benefits
Flexible vacation and Kinaxis Days (company-wide day off on the last Friday of every month)
Flexible work options
Physical and mental well-being programs
Regularly scheduled virtual fitness classes
Mentorship programs and training and career development
Recognition programs and referral rewards
Hackathons
Company
Kinaxis
Kinaxis is a leading provider of cloud-based subscription software.
1001-5000 employees
H1B Sponsorship
Kinaxis has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (13)
2024 (5)
2023 (9)
2022 (9)
2021 (4)
2020 (9)
Funding
Current Stage
Public CompanyTotal Funding
$78.8MKey Investors
HarbourVest Partners
2014-11-25Post Ipo Secondary· $45.8M
2014-06-10IPO
2000-05-25Series Unknown· $33M
Leadership Team
Anthony Gallo
Vice President of Product Management, Platform Innovation
Gelu Ticala
Vice President Product Development
Recent News
Business Wire
2026-01-09
Company data provided by crunchbase