Remote Engineering Manager, Enterprise Data Warehouse

machinifyinc; United States; Remote; USD 220,000 - 260,000; Full time

Benefits offered by this job

Remote work anywhere in the United S t

Medical, dental, vision coverage

Job summary

Machinify Inc. seeks a senior analytics engineering manager to lead a team building an enterprise data warehouse and analytics platform. You will split time between designing models, coding, and reviewing engineering work, while guiding data quality, governance, and semantic modeling across domains.

You will oversee Databricks pipelines, implement data contracts, and drive BI-ready semantic layers with Power BI. Remote work is available from anywhere in the United States.

Qualifications

• 10+ years in data warehousing, data engineering, or analytics engineering.
• 3+ years as hands-on engineering manager.
• Experience owning a multi-source enterprise warehouse in production.
• Strong SQL, dbt, performance tuning, tests, and CI.

Responsibilities

• Design and evolve conformed dimensional models with standards for grain and consistency.
• Build and operate Databricks ETL/ELT pipelines with incremental loads and data contracts.
• Develop governed metrics and semantic models for dashboards and self-service.
• Turn KPI definitions into certified metrics and deliver through dashboards.
• Maintain data quality via tests, reconciliation, freshness, anomaly monitoring, and CI/CD.
• Lead migration of dbt orchestration to Airflow while preserving freshness.
• Set technical plans with Product and business partners; manage and hire analytics engineers.

Skills

Dimensional modeling

Advanced SQL

dbt

Python

CI/CD

Data quality

Stakeholder communication

Distributed data design

Leadership

Mentoring

Tools

Databricks

Spark SQL

Delta Lake

Unity Catalog

dbt

Airflow

Power BI

DAX

Snowflake

BigQuery

Python

Job description

Machinify Inc. seeks a senior analytics engineering manager to lead a team building an enterprise data warehouse and analytics platform. You will split time between designing models, coding, and reviewing engineering work, while guiding data quality, governance, and semantic modeling across domains.

You will oversee Databricks pipelines, implement data contracts, and drive BI-ready semantic layers with Power BI. Remote work is available from anywhere in the United States.