Senior Data Engineer: Lakehouse & AI Platform

Brio Water Technology; Glendale (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

401K Retirement Plan

Paid Vacation Time

Paid Holidays

and More!

Job summary

Home Organizers, Inc. is hiring a hands-on data engineer who works across the full stack—from ingestion and pipelines to modeling, governance, AI integration, and reporting. You will design, build, and operate the platform yourself, setting standards for any future hires.

The role requires on-site work in Glendale, CA. Responsibilities include ingestion pipelines, lakehouse governance, dimensional modeling, ML/AI pipelines, and API integrations.

Qualifications

• 8+ years in data engineering, including at least 3 owning a production cloud data platform end to end.
• Hands‑on production experience with Databricks: Unity Catalog, Delta, Workflows/Lakeflow Jobs, and SQL warehouses.
• Expert dbt and dimensional modeling with a governed metrics layer.
• Strong SQL and Python; comfortable with Git, CI/CD, and infrastructure as code.
• Built governed BI on a semantic model with row‑level security and alerts.
• Delivered both managed‑connector ingestion and custom pipelines, including CDC and APIs.
• Shipped pipelines turning unstructured data into structured data using transcription, OCR, or vision models.
• Operated models in production with MLflow, including versioning and monitoring.
• Implemented data access controls: row filters, column masks, and group permissions.
• Solved entity resolution across multiple source systems.
• Built integrations that write back to production systems with audit logging.

Responsibilities

• Ingestion: design, build, and operate batch and streaming pipelines from SaaS apps, databases, APIs, and in‑house systems.
• Lakehouse and governance: manage a Databricks lakehouse with Unity Catalog, row filters, and lineage.
• Modeling and semantic layer: develop dimensional models and a governed metrics layer in dbt; own QA and data quality.
• Unstructured data and ML: build pipelines turning audio, video, documents, images into structured data; deploy with MLflow.
• AI integration: maintain LLM integrations with read/write capabilities and audit logging.
• APIs: define integration requirements and build against them.
• Reporting: build governed dashboards and alerting on a semantic‑model BI platform.
• Observability: monitor pipeline freshness, data quality, and model performance with early alerts.

Skills

Databricks

SQL

Python

CI/CD

Infrastructure as Code

Data governance

Data modeling

MLflow

Entity resolution

APIs integration

Tools

Unity Catalog

Delta Lake

Lakeflow

Fivetran

Airbyte

dbt

Looker

Sigma

Job description

Home Organizers, Inc. is hiring a hands-on data engineer who works across the full stack—from ingestion and pipelines to modeling, governance, AI integration, and reporting. You will design, build, and operate the platform yourself, setting standards for any future hires.

The role requires on-site work in Glendale, CA. Responsibilities include ingestion pipelines, lakehouse governance, dimensional modeling, ML/AI pipelines, and API integrations.