Director of Analytics Engineering: Scale Data, Drive Value

Pho Prime, LLC; Shelton (CT); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Mobility Allowance

Job summary

Subway is seeking a Director of Analytics Engineering to lead the design, development, and delivery of scalable data models and analytics-ready datasets. You will bridge Data Engineering and Analytics, ensuring trusted, performant data for decision-making at scale.

You will partner with Data Product, BI, and business stakeholders to deliver enterprise data assets, lead analytics engineers, and drive best practices, governance, and cost-efficient data pipelines.

Qualifications

• Strong background in analytics engineering, data modeling, or data engineering.
• Expertise with dbt, cloud data warehouses, and lakehouses.
• Advanced SQL and data transformation skills.
• Experience with BI tools and analytics consumption layers.
• Proven leadership and stakeholder management abilities.
• Experience driving data quality, governance, and standardization at scale.

Responsibilities

• Own the analytics engineering roadmap and data models.
• Define standards for dimensional modeling and semantic layers.
• Establish data quality, testing, and monitoring practices.
• Partner with product managers to translate requirements into scalable models.
• Lead adoption of analytics tooling including CI/CD and dbt.
• Develop Analytics Engineers and set performance expectations.
• Define and track KPIs like data reliability and model performance.

Skills

Analytics engineering

Data modeling

SQL

dbt

Leadership

Stakeholder management

Education

Bachelor's degree in CS/Data/Engineering or related field

Tools

Databricks

Snowflake

BigQuery

CI/CD tooling

Job description

Subway is seeking a Director of Analytics Engineering to lead the design, development, and delivery of scalable data models and analytics-ready datasets. You will bridge Data Engineering and Analytics, ensuring trusted, performant data for decision-making at scale.

You will partner with Data Product, BI, and business stakeholders to deliver enterprise data assets, lead analytics engineers, and drive best practices, governance, and cost-efficient data pipelines.