<h3>Responsibilities</h3><ul><li>Lead the design of performant, scalable systems using machine learning and data engineering best practices; establish coding standards and mentor data engineers. </li><li>Collaborate with executive stakeholders to understand business priorities and drive delivery of complex data products aligned with company goals. </li><li>Define and execute the enterprise big data strategy, guiding teams to deliver impactful, data-driven solutions. </li><li>Oversee data warehouse strategy with BI and data systems teams, ensuring alignment and scalability. </li><li>Lead assessment of existing platforms for maintainability, reliability, scalability, and performance; identify improvement opportunities. </li><li>Drive enhancements for existing solutions, ensuring continuous alignment with business needs and technology trends. </li><li>Champion adoption of industry best practices and emerging technologies to accelerate business growth. </li><li>Foster collaboration and knowledge sharing across cross-functional teams to ensure effective data architecture.</li><li>Partial telecommuting permitted; on-site at 4205 Chapel Ridge Rd, Lehi, UT 84043 when not telecommuting.</li></ul><h3>Minimum Requirements</h3><ul><li>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.   </li><li>Must also have experience in the following:</li><li>7 years of professional experience performing coding in PhP or JavaScript; </li><li>5 years of professional experience coding and interpreting sensitive PII; </li><li>5 years of professional experience designing modular architectures for data ingestion, processing, storage, and model training; </li><li>3 years of professional experience recommending and driving technical initiatives; </li><li>3 years of professional experience in designing or developing in an event driven architecture including Kafka or Confluent; </li><li>3 years of professional experience with UML standards for architectural communication; and </li><li>3 years of professional experience working in an AWS cloud environment.</li></ul><div><span>CONTACT: Apply online at </span><a href="https://www.entrata.com/careers">https://www.entrata.com/careers</a></div><div>#IN-DNI #LI-DNI</div>

Entrata

Senior Data Architect (Entrata, Inc., Lehi, UT)

Entrata