Data Architect

Pho Prime, LLC; Shelton (CT); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Mobility Allowance

Job summary

Subway is seeking a Senior Data Architect to define and evolve the enterprise data platform on Databricks. You will lead lakehouse, streaming, and batch designs powering analytics, reporting, and AI/ML use cases while guiding modernization of legacy workloads.

You will mentor engineers, collaborate with Data Engineering, Analytics, Security, and Business teams, and enforce data governance with secure access controls. Strong communication is essential.

Qualifications

• Deep expertise with the Databricks platform including Delta Lake, Unity Catalog, MLflow, and Delta Live Tables.
• Strong understanding of lakehouse, data lake, data warehouse, and data mesh concepts.
• Expert SQL and Python/PySpark; Scala knowledge is a plus.
• Experience with distributed data processing frameworks at enterprise scale.
• Experience with cloud platforms (AWS, Azure, or GCP) and native data services.
• Proficiency with orchestration tools such as Databricks Workflows, Airflow, or Azure Data Factory.
• Experience with data governance, security, and access-control frameworks.
• IaC experience with Terraform, Pulumi, or ARM/Bicep.
• Ability to translate business requirements into scalable designs.
• Strong communication and architecture-influence skills.
• Bachelor’s or higher with 8–12+ years in data engineering/architecture.
• Experience building production-grade data platforms on Databricks, Snowflake, or Redshift.

Responsibilities

• Define and lead enterprise data platform architecture on Databricks, including lakehouse, streaming, and batch architectures.
• Architect Medallion patterns and design self-service capabilities with Unity Catalog and Delta Lake.
• Modernize legacy data warehouses onto the Databricks lakehouse and set standards across teams.
• Mentor engineers on Databricks best practices and cost-optimization strategies.
• Collaborate with Data Engineering, Analytics, Security, and Business teams.
• Enforce data governance practices and secure access models.
• Lead architecture reviews and influence long-term platform direction.
• Track KPIs for reliability, freshness, and efficiency.

Skills

Databricks expertise

SQL

Python/PySpark

Scala knowledge

Spark at enterprise scale

Cloud platforms (AWS/Azure/GCP)

Data governance & security

Data quality & observability

IaC (Terraform/Pulumi/ARM)

Communication & architecture influence

Architectural leadership

Education

Bachelor's degree in Computer Science/Engineering/Data or related field

Master's degree preferred

Tools

Delta Lake

Unity Catalog

MLflow

Databricks Workflows

Airflow

Terraform

Job description

At Subway, we are not standing still. We are building.

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact.

You will not just do the work. You will shape it.

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world.

If you bring energy, accountability and a bias for action, you will fit right in.

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day.

This is your chance to be part of what's next.

Position Overview

The Data Architect is a senior technical authority responsible for defining and evolving the enterprise data platform architecture built on Databricks. This role leads the design of lakehouse, streaming, and batch data solutions that power analytics, reporting, and AI/ML use cases across the business, and guides the modernization of legacy data warehouse workloads onto a modern Databricks lakehouse. The Senior Data Architect partners closely with Data Engineering, Analytics, Platform, Security, and Business teams to ensure data solutions are scalable, secure, cost-efficient, and aligned with enterprise architecture standards, while mentoring engineers on Databricks best practices.

Responsibilities

• Define and lead enterprise architecture for data platforms built on Databricks - including lakehouse, streaming, and batch architectures; architect Medallion (Bronze / Silver / Gold) pipeline patterns and design self-service capabilities leveraging Unity Catalog, Delta Lake, and Delta/Iceberg interoperability for domain teams.
• Define architecture and migration patterns for modernizing legacy data warehouse workloads (e.g., Redshift, Snowflake) onto the Databricks lakehouse; establish architecture standards, design patterns, and technical guardrails across the data engineering organization.
• Partner with Data Engineering teams to implement robust, reusable frameworks and pipeline orchestration; guide adoption of Databricks features - Delta Live Tables, Unity Catalog, MLflow, Databricks Workflows - and establish monitoring, observability, and reliability standards for production data pipelines.
• Define and enforce data governance practices - data quality, lineage, cataloging, and access controls using Unity Catalog; implement secure data access models (RBAC/ABAC) and champion metadata management and data-contract enforcement as core architecture practices.
• Serve as the technical authority for data platform architecture, advising Analytics, BI, Data Science, and Product teams; lead architecture and design reviews for complex data initiatives; influence technology selection and long-term platform direction.
• Mentor data engineers and architects on Databricks best practices and modern data architecture patterns; drive cost-optimization strategies for Databricks and cloud compute/storage; define and track platform KPIs - reliability, data freshness, SLA adherence, and DBU consumption efficiency.

Qualifications

• Deep expertise with the Databricks platform and ecosystem - Delta Lake, Unity Catalog, MLflow, Databricks Workflows, and Delta Live Tables.
• Strong understanding of modern data architectures: lakehouse, data lake, data warehouse, and data mesh concepts.
• Expert-level proficiency in SQL and Python/PySpark; working knowledge of Scala is a plus.
• Experience with distributed data processing frameworks (e.g., Apache Spark) at enterprise scale.
• Experience with cloud platforms (AWS, Azure, or GCP) and native data services.
• Proficiency with orchestration tools such as Databricks Workflows, Airflow, or Azure Data Factory.
• Experience with data governance, security, and access-control frameworks (RBAC/ABAC).
• Experience with data-quality and observability tooling (e.g., Great Expectations, Monte Carlo, Databricks Lakehouse Monitoring).
• Working knowledge of Infrastructure-as-Code (Terraform, Pulumi, or ARM/Bicep).
• Ability to translate business requirements into scalable, cost-efficient technical designs.
• Strong communication skills and ability to influence architecture decisions across engineering and business teams.
• Bachelor's degree in Computer Science, Engineering, Data, Information Systems, or a related field (or equivalent practical experience).
• 8-12+ years of experience in data engineering, data architecture, or platform engineering.
• Demonstrated experience architecting production-grade data platforms on Databricks, Snowflake, and/or Amazon Redshift.
• Experience operating cloud-based, distributed data platforms at enterprise scale.

Preferred Qualifications

• Databricks Certified Data Engineer Professional or Databricks Certified Data/AI Solutions Architect.
• Experience leading large-scale data platform migrations (e.g., Redshift to Databricks, on-prem to cloud).
• Exposure to ML/AI platform engineering - feature stores, model serving, and MLOps integration.
• Familiarity with Microsoft Purview, Collibra, or Alation for enterprise data governance.
• Advanced degree (Master's) in Computer Science, Engineering, or a related field.
• Experience in QSR, Retail, CPG, or Franchise industry environments.

What do we offer?

• Mobility Allowance