Director of Data Engineering & Platform

Pho Prime, LLC; Shelton (CT); On-site; USD 185,000 - 231,000; Full time

Benefits offered by this job

Pension

Bonus

Tuition Reimbursement

Holidays

Volunteering time

Job summary

Subway seeks a Director, Data Engineering to lead design, development, and operation of enterprise data platforms. You will drive reliability, scalability, and governance across analytics, reporting, and data products, partnering with Data Product, Analytics, Platform, and Security teams.

Located in Shelton, CT, this role oversees a team of 10–20+ engineers, guides migration from Redshift to Databricks/Snowflake, and champions DataOps, data quality, and data mesh principles to empower domain

Qualifications

• Strong experience leading data engineering teams and platforms in a technology-forward organization.
• Deep understanding of modern data architectures - cloud data platforms, batch/stream processing, lakehouse, and data mesh.
• Experience balancing delivery speed with governance, reliability, and scalability in complex environments.
• Ability to influence across Product, Analytics, Platform, and Security functions.
• Proven people leadership, delivery management, and vendor management skills.
• Strong communication skills and executive presence; comfortable presenting to C-suite stakeholders.
• Expert in SQL, Python, and PySpark; working knowledge of Scala is a plus.
• Proficient with orchestration tools (Databricks Workflows, Airflow, Azure Data Factory).
• Experience with data quality and observability tools (Great Expectations, Monte Carlo, Soda, or equivalent).
• Familiarity with dbt, Fivetran/Airbyte, or similar ELT frameworks.
• Working knowledge of Infrastructure-as-Code (Terraform, Pulumi, or ARM/Bicep).
• Bachelor’s degree required (Computer Science, Engineering, Data, Information Systems, or related field).
• Advanced degree (Master’s or MBA) preferred.
• 8-12 years of experience in data engineering or adjacent platform roles.
• 3-5 years of experience leading teams or enterprise‑scale data capabilities.
• Demonstrated experience delivering production‑grade data platforms on Databricks (strongly preferred), Snowflake, and/or Amazon Redshift.
• Experience operating cloud-based, distributed data platforms at enterprise scale.
• Experience in complex, matrixed enterprise environments - QSR, Retail, CPG, or Franchise industries preferred.

Responsibilities

• Own the design, development, and operations of Subway’s enterprise data engineering platform on AWS Databricks.
• Lead the delivery of Medallion Architecture (Bronze / Silver / Gold) pipelines across all QSR domains - Restaurant, Sales, Inventory, Guest, Marketing, and Supply Chain.
• Oversee development of Delta Live Tables, batch and streaming pipelines, and feature engineering workflows across Databricks and Microsoft Fabric.
• Architect and deliver a self-service data platform leveraging Unity Catalog, RBAC/ABAC governance, and Delta/Iceberg interoperability to enable domain teams to independently build and consume trusted data products.
• Define and execute the platform migration roadmap - phasing workloads from Redshift to Databricks/Snowflake with minimal business disruption.
• Partner with the Enterprise Data & AI Architect to implement and evolve a Data Mesh architecture, enabling domain teams to own and publish certified data products.
• Drive DataOps practices including CI/CD for data pipelines, automated testing, data contract enforcement, and pipeline observability.
• Ensure platform reliability, SLA adherence, and proactive incident management for all production data pipelines and data products.
• Implement infrastructure-as-code and environment management for Databricks workspaces, clusters, and job orchestration.
• Establish on‑call processes, runbooks, and escalation paths for Tier-1 data platform incidents, targeting ≤99.5% pipeline uptime.
• Define and enforce data quality standards and SLAs across all engineering pipelines and analytics products - partnering with the Data Governance function and Data Product Owners.

Skills

Leadership

Data engineering

Databricks

SQL

Python

PySpark

Snowflake

Redshift

Airflow

CI/CD

Data governance

Data mesh

RBAC/ABAC

Unity Catalog

Education

Bachelor’s degree in Computer Science, Engineering, Data, Information Systems, or related field

Master’s degree or MBA preferred

Tools

Databricks

Airflow

Azure Data Factory

dbt

Fivetran

Terraform

Microsoft Purview

Job description

Subway seeks a Director, Data Engineering to lead design, development, and operation of enterprise data platforms. You will drive reliability, scalability, and governance across analytics, reporting, and data products, partnering with Data Product, Analytics, Platform, and Security teams.

Located in Shelton, CT, this role oversees a team of 10–20+ engineers, guides migration from Redshift to Databricks/Snowflake, and champions DataOps, data quality, and data mesh principles to empower domain