Engineering Manager: Enterprise Data Warehouse Analytics

The Rawlings Group; United States; Remote; USD 220,000 - 260,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Flexible time off

Equity

401(k) with employer match

Job summary

Machinify is hiring an Engineering Manager to lead a data and analytics team responsible for the company’s unified data warehouse and governed metrics. You will design the dimensional model, build ETL/ELT pipelines on Databricks, and own the semantic layer used by dashboards and LLMs.

Collaboration with Product is essential to translate requirements into technical plans and delivery. You will lead engineers and BI analysts, set coding and testing standards, and drive data quality, observability,

Qualifications

• 10+ years in data warehousing, data engineering, or analytics engineering.
• 3+ years as hands-on engineering manager.
• Expert in dimensional modeling and enterprise warehouse design.
• Strong SQL and dbt proficiency with performance tuning.

Responsibilities

• Own the data model and conformed standards.
• Build and run ETL/ELT pipelines end-to-end.
• Own the semantic layer and governance for metrics.
• Deliver reliable operational metrics and dashboards.
• Assure data quality with tests, reconciliation, and CI/CD.
• Modernize orchestration from dbt Cloud to Airflow.
• Partner with Product to shape technical requirements and plans.
• Lead and grow analytics engineers and BI analysts.

Skills

Data warehousing

Engineering management

Dimensional modeling

SQL & dbt

Databricks

Semantic layer

ETL/ELT orchestration

Data quality

Cross-functional partner

Tools

dbt

Airflow

Python

Power BI

Unity Catalog

Spark SQL

Delta Lake

Job description

Machinify is hiring an Engineering Manager to lead a data and analytics team responsible for the company’s unified data warehouse and governed metrics. You will design the dimensional model, build ETL/ELT pipelines on Databricks, and own the semantic layer used by dashboards and LLMs.

Collaboration with Product is essential to translate requirements into technical plans and delivery. You will lead engineers and BI analysts, set coding and testing standards, and drive data quality, observability,