Lead the design of performant, scalable systems using machine learning and data engineering best practices; establish coding standards and mentor data engineers.
Collaborate with executive stakeholders to understand business priorities and drive delivery of complex data products aligned with company goals.
Define and execute the enterprise big data strategy, guiding teams to deliver impactful, data-driven solutions.
Oversee data warehouse strategy with BI and data systems teams, ensuring alignment and scalability.
Lead assessment of existing platforms for maintainability, reliability, scalability, and performance; identify improvement opportunities.
Drive enhancements for existing solutions, ensuring continuous alignment with business needs and technology trends.
Champion adoption of industry best practices and emerging technologies to accelerate business growth.
Foster collaboration and knowledge sharing across cross-functional teams to ensure effective data architecture.
Partial telecommuting permitted; on-site at 4205 Chapel Ridge Rd, Lehi, UT 84043 when not telecommuting.
Minimum Requirements
Bachelor’s degree or U.S. equivalent in Computer Engineering, Computer Science, Data Science, or a related field, plus 7 years of professional experience as a Software Engineer, Data Architect, or any occupation/position/job title involving data structuring for enterprise SaaS systems.
Must also have experience in the following:
7 years of professional experience performing coding in PhP or JavaScript;
5 years of professional experience coding and interpreting sensitive PII;
5 years of professional experience designing modular architectures for data ingestion, processing, storage, and model training;
3 years of professional experience recommending and driving technical initiatives;
3 years of professional experience in designing or developing in an event driven architecture including Kafka or Confluent;
3 years of professional experience with UML standards for architectural communication; and
3 years of professional experience working in an AWS cloud environment.
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