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About the Role
As a member of the Data Analytics team, you will support efforts to solve important business problems, help internal departments make informed decisions, and deliver analytical insights to the business. We are seeking an experienced Data Architect / AI/ML Solutions professional who can work closely with business stakeholders and technical teams to translate business needs into effective data and analytics solutions.
Responsibilities
- Assist in evaluating and identifying appropriate data, analytics, and AI/ML approaches that align with business requirements.
- Contribute to the design of scalable and practical analytics solutions that support business goals.
- Design, develop, and maintain scalable and reliable data pipelines using tools such as Airflow, Python, SQL, and Databricks DLT.
- Collaborate closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, consistent, and reliable.
- Work with both structured and unstructured data sources to ingest, transform, and store data in a manner that meets business requirements.
- Implement effective data modeling and database design to support analytic and operational use cases.
- Ensure best practices in data security, data quality, and data governance.
- Optimize and tune SQL queries and database performance for high-concurrency environments.
- Collaborate with software engineering and analytics engineering teams to integrate data pipelines with application systems.
- Leverage cloud platforms (AWS & Azure) to design and deploy data solutions that are scalable, cost-effective, and meet the organization’s needs.
- Act as a mentor and provide guidance to junior data engineers, promoting skill growth within the team.
- Participate in validation, testing, and review of analytics and AI/ML solutions to ensure they meet business and performance requirements.
- Support data quality, consistency, and governance practices within assigned solutions.
- Stay informed about the latest developments in AI/ML technologies and industry best practices.
- Assess new tools and technologies for potential application within the organization.
Requirements
- Bachelor’s Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.
- Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
- 4+ years of experience in data science, advanced analytics, data analysis, or related role.
- Strong knowledge of AI/ML concepts and common models such as regression, classification, clustering, and deep learning.
- Proven experience in requirement gathering, solution design, and project management.
- Strong communication skills with the ability to convey technical concepts to non-technical audiences.
- Strong problem-solving skills and a proactive approach to identifying and addressing business challenges.
- Experience with programming languages and tools commonly used in AI/ML workflows (e.g., Python, R, SQL).
Skills
- Python
- SQL
- Java
- Scala
- Spark
- Flink
- Snowflake
- Apache Airflow
- Azure Data Factory
- Prefect
- FiveTran
- Mage
- ANSI SQL
- AWS bedrock
- Azure Foundry
- Jira
- Confluence
- Git
- Kinesis
- Kafka
- AWS
- Azure
- Docker
- Kubernetes
- MWAA
- AWS EKS
- AWS RDS Aurora (MySQL)
- Datahub
- Mote Carlo
- Dynatrace
- Great Expectations
- Databricks DLT
- R
Location
- Salt Lake City, Utah
Work Type
- 9/80 schedule
- Full-time
Experience Level
- Senior Specialist
- 6 years of prior relevant experience (with Bachelor's)
- 4 years of prior related experience (with Graduate Degree)
- 10 years of prior related experience (in lieu of degree)
- 4+ years of experience in data science, advanced analytics, data analysis, or related role
Education Level
- Bachelor's Degree
- Graduate Degree
About the Company
- We are seeking an experienced Data Architect / AI/ML Solutions professional who can work closely with business stakeholders and technical teams to translate business needs into effective data and analytics solutions.