Data Architect (59143)

LSB INDUSTRIES•Oklahoma City, OK

1d•Hybrid

About The Position

LSB is committed to playing a leadership role in the production of low and no carbon products that build, feed and power the world. The LSB team is dedicated to building a culture of excellence in customer experiences as we deliver essential products across the agricultural and industrial end markets and, in the future, the energy markets. Join our team and help us develop innovative solutions that will improve the quality of life for current and future generations. Learn more about LSB at www.lsbindustries.com. The Data Architect is a senior technical leader responsible for the design, evolution, and reliability of the enterprise data platform. This role owns platform architecture across cloud environments and ensures data systems are scalable, secure, and optimized for analytics and reporting. The Data Architect sets technical direction, establishes standards, and partners across teams to enable trusted data delivery from cloud data platforms to data visualization/analysis environments and tools. Location: This role is based out of Oklahoma City, OK and will utilize a hybrid schedule (3 days in-office, 2 days remote).

Requirements

Bachelor’s degree in MIS, Computer Science, Data Science, or related field.
8+ years of experience in data architecture, data engineering and/or data platform roles.
Deep experience designing and operating cloud-based data platforms.
Strong expertise with Snowflake, including performance tuning and cost optimization.
Proficiency with SQL and at least one programming language (e.g., Python).
Experience supporting analytics and BI workloads at scale.

Nice To Haves

Master’s degree in Data Analytics or related field preferred.
Hands-on experience with both Azure and AWS data services.
Experience with Power BI data modeling, datasets, and enterprise reporting.
Familiarity with orchestration tools (e.g., Azure Data Factory, Qlik Replicate, FiveTran).
Experience implementing data governance, security, and access controls.
Experience influencing architecture across multiple teams or domains.

Responsibilities

Data Platform Architecture & Ownership Design and evolve a cloud-based data platform leveraging best of breed tools and expertise of said platform.
Own the architecture and operational health of the cloud data platform.
Define platform standards for data ingestion, transformation, storage, and consumption.
Make architectural decisions that balance scalability, performance, cost, and maintainability.
Cloud & Infrastructure Leadership Lead design and implementation of cloud-native data solutions using best of breed tools and processes.
Partner with infrastructure and security teams on networking, identity, encryption, and governance.
Drive infrastructure-as-code, automation, and platform reliability practices.
Snowflake & Analytics Enablement Architect and optimize cloud data platform schemas, data models, and performance strategies.
Establish best practices for workload management, cost optimization, and data access.
Enable analytics and reporting use cases through well-modeled, reliable data structures.
Power BI & Data Consumption Partner with BI and analytics teams to deliver semantic models and trusted, governed and reliable datasets.
Ensure data models are optimized for reporting performance and usability.
Promote data discoverability, documentation, and self-service analytics.
Technical Leadership & Standards Serve as a technical authority and escalation point for complex data platform issues.
Lead design reviews and influence data engineering practices across teams.
Mentor data engineers and guide platform-aligned solution design.
Operational Excellence Define and implement monitoring, alerting, and data quality practices.
Lead incident response and root cause analysis for data platform issues.
Improve CI/CD pipelines, deployment automation, and platform observability.