3 of 3 Semantic Layer Jobs in Reading

Location: Remote Commitment: 20–40 hours/week Role Responsibilities Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices. Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring … patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. Exposure to LLM workflows, vector search, and unstructured data pipelines. Application Process (Takes ...

reliability, cost efficiency and scalability. Analytics Engineering Team – Drive data modelling, transformation and pipeline standards through the lake/warehouse to power governed, reusable semantic layers and metrics. Clickstream Team – Operate and evolve our real‐time event ingestion and processing to bring product telemetry and digital signals into … observability, lineage and cost/FinOps; codify patterns for batch, streaming and ML. Deliver trustworthy data. Support the teams to establish modelling conventions (e.g., layer boundaries, naming, contracts), data quality SLAs, and a governed metrics layer consumable by our ThoughtSpot visualisation platform. Security, privacy & compliance. Champion least‐privilege ...

Location: Remote Commitment: 20–40 hours/week Role Responsibilities Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices. Integrate DBT workflows with Snowflake Cortex CLI to enable feature engineering pipelines, model training and inference tasks, automated pipeline orchestration, and monitoring … patterns, and version-controlled analytics development. Preferred Prior experience operationalizing ML workflows inside Snowflake. Familiarity with Snow-park, Python UDFs/UDTFs. Experience building semantic layers using DBT metrics. Knowledge of MLOps/DataOps best practices. Exposure to LLM workflows, vector search, and unstructured data pipelines. Application Process (Takes ...