Senior Data Engineer & Data Architect

Role Overview

The Senior Data Engineer/Data Architect is responsible for designing, building, and governing the enterprise data platform on Azure Databricks. This role owns both hands-on data engineering delivery and data architecture design, ensuring that enterprise data is reliable, scalable, secure, and ready to support analytics, reporting, and AI initiatives.

What You Will Do

Design and build end-to-end data pipelines (batch and near real-time) using Databricks and Spark, implement and maintain Bronze/Silver/Gold data architecture layers, ingest data from ERP, SaaS applications, APIs, and legacy systems into Lakehouse, optimize pipelines for performance, scalability, and cost efficiency, and implement CI/CD pipelines using GitHub.

Why It Might Be a Fit

This role requires 6-10+ years of experience in data engineering, data architecture, or enterprise data platforms, hands-on experience building and supporting data pipelines in cloud environments, and experience working with enterprise systems (ERP, CRM, or similar).

Requirements

• 6-10+ years of experience in data engineering, data architecture, or enterprise data platforms
• Hands-on experience building and supporting data pipelines in cloud environments
• Experience working with enterprise systems (ERP, CRM, or similar)
• Strong expertise in Azure Databricks/Apache Spark, Python/PySpark, SQL (advanced), and Azure Data Lake Storage (ADLS)
• Experience with CI/CD with GitHub, API and data integration patterns, and data modeling (dimensional and normalized)

Benefits

• Comprehensive safety programs
• Required safety training
• Commitment to a safety-first culture
• Reasonable accommodations for individuals with disabilities