Data Architect

Your Job

A Data Architect on the KES IT Data & Analytics team is responsible for designing and maturing the data foundation that powers enterprise decision-making, AI solutions, and curated data products across KES business units.

With "Data as the Foundation" at the core of our strategy, this role focuses on translating complex business problems into well-structured, enterprise-endorsed data models and reusable data assets.

You must demonstrate a proven ability to balance technical rigor with business acumen - the most impactful work here sits at the intersection of data modeling craft and deep understanding of business outcomes.

A candidate who thrives in a collaborative, fast-moving environment and is passionate about building data foundations will be a great fit for this opportunity.

This role is not eligible for Visa Sponsorship

What You Will Do


* Design, build, and deliver curated data models in Snowflake using dbt, applying dimensional modeling, data vault, or other patterns appropriate to business use cases.


* Partner with Data Engineers, Analytics Engineers, BI Developers, and Product Teams to translate business problems into structured data products that drive actionable insights.


* Own the development and governance of enterprise-endorsed datasets - establishing the authoritative, trusted data assets that serve as the foundation for analytics and AI.


* Lead data modeling standards and best practices across the KES IT Data & Analytics team, ensuring consistency, scalability, and alignment with the broader data architecture.


* Mature the data foundation by identifying gaps in coverage, quality, and structure, then prioritizing and delivering improvements in an iterative, product-minded way.


* Enable AI solutions by designing clean, well-governed data layers that support model training, feature engineering, and AI-assisted insight generation.


* Collaborate with stakeholders and product owners to synthesize business requirements into data domain structures, semantic layers, and data product roadmaps.


* Drive data governance practices including metadata management, documentation, data lineage, domain ownership, and data quality frameworks.


* Experiment with and evaluate emerging tools and patterns to continuously improve how data is structured and delivered across the organization.

Who You Are (Basic Qualifications)


* 3+ years of experience in data modeling, including dimensional modeling, data vault, or related patterns for analytics and reporting workloads.


* 5+ years of experience writing and optimizing SQL against cloud data warehouses (Snowflake preferred).


* Experience with data transformation tools (dbt preferred) for developing and managing data transformation pipelines.


* Hands-on experience building and maturing data warehouses or data lakehouse architectures on a cloud platform (AWS, Azure, or GCP).


* Demonstrated ability to synthesize complex business r...