Data Engineer – Data Modeling & AI Infrastructure

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.We are looking for a Data Modeling & AI Ops professional who can work closely with product, engineering, and analytics teams to build scalable, reliable data foundations for analytics and AI/ML use cases.What You’ll DoPartner with the Data Product Manager to translate business requirements into data and technical specifications.Design and maintain data models and schemas for analytics, reporting, and AI/ML use cases.Explore data sources, schemas, and infrastructure to support new data requirements.Support the design of AI/ML data infrastructure, including pipelines and model-ready datasets.Document data models, definitions, dependencies, and data lineage.Identify gaps in existing data infrastructure and recommend improvements.Collaborate with data engineers, analysts, and stakeholders to ensure data quality and accuracy.Perform ad hoc analysis and prototype new data models before implementation.What We’re Looking ForStrong understanding of data warehousing, ETL/ELT, data pipelines, and data governance.Experience with data modeling, dimensional modeling, and schema design.Understanding of how data pipelines and datasets support AI/ML systems.Strong SQL skills.Familiarity with Python or another scripting language is a plus.Strong analytical, research, and problem-solving abilities.Ability to work independently on ambiguous data problems.Good communication and technical documentation skills.Experience working with Product Managers or product-focused data teams is a plus.Nice to HaveExperience with Snowflake, BigQuery, Databricks, or similar cloud data platforms.Exposure to MLOps / AI infrastructure.Experience with data governance, metadata management, or data lineage.Primary Skills: Data Modeling, AI OpsKey Skills: SQL, Data Warehousing, ETL/ELT, Data Pipelines, Dimensional Modeling, AI/ML Infrastructure, Python, Data GovernanceAt LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.