Data Architect

Job not on LinkedIn

🔥 1 minute ago

🏈 Alabama, Arizona, +11 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 10%

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ProMach

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏭 Manufacturing

🤝 B2B

🔧 Hardware

💰 Private equity on 2023-06

Manufacturing • B2B • Hardware

ProMach is a global provider of processing and packaging equipment, integrated systems, and services for consumer packaged goods (CPG) and pharmaceutical manufacturers. The company assembles best-in-class brands into business lines that cover the full packaging line — from processing, filling and bottling to labeling, coding, robotics, end-of-line and turnkey conveyor and integration services. ProMach markets equipment and engineering solutions (including sterilization/pasteurization, pouch and tray systems, capping, labeling, palletizing and digital intelligence for production lines) and reports 150,000+ machines in the field, 50+ go-to-market product brands, 90+ manufacturing and sales locations, and 6,000+ employees worldwide.

📋 Description

• Design and implement scalable data architectures across hybrid cloud and on-premise environments • Lead data integration efforts from ERP systems including SAP, Oracle, and SyteLine, and CRM systems such as Salesforce • Develop and optimize scalable ETL/ELT pipelines using distributed data processing and orchestration frameworks • Lead large-scale data migration projects while ensuring data integrity, lineage, and minimal business disruption • Design and maintain logical and physical data models for transactional and analytical use cases • Collaborate with data engineers and analysts to operationalize and enhance data solutions • Ensure performance, scalability, and reliability of data workflows and storage through indexing, partitioning, and caching • Champion data quality, governance, and metadata management across reporting and analytics ecosystems • Provide technical leadership and mentorship to data engineering teams • Advocate for modern data practices and tools • Monitor emerging data architecture technologies to drive innovation and modernization

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, or related field • 7+ years of experience in data architecture, data engineering, or related roles • Hands-on experience with Databricks, including building data pipelines, working with Delta Lake, and leveraging Spark-based transformations • Proficiency with relational database development, including T-SQL, schema design, and indexing, across platforms such as SQL Server or PostgreSQL • Strong experience integrating and modeling data from ERP and CRM systems, including SAP, Oracle, SyteLine, and Salesforce • Proficiency in SQL and Python for data transformation, analysis, and automation • Experience building robust ETL/ELT processes and supporting data migrations at scale • Solid understanding of data governance principles, metadata management, and data security best practices • Excellent communication and collaboration skills with technical and business stakeholders • Experience with Databricks Unity Catalog or other enterprise data cataloging solutions preferred • Knowledge of real-time data processing and streaming architectures preferred • Familiarity with Power BI or Tableau preferred • Understanding of manufacturing, financial, and supply chain data domains preferred • Experience with CI/CD practices, infrastructure automation, and DevOps for data solutions preferred • Minimal reaching, lifting, and walking • Consistent use of computer, telephone, typing, and talking • Must be eligible to work in the United States; Pro Mach uses E-Verify for new hires

🏖️ Benefits

• Comprehensive medical/dental programs • Life insurance • Generous paid time off program • Retirement savings plan with a company match • No waiting period for benefits; eligible on the first day of employment • Growth opportunities • Open, communicative work environment fostering individual initiative • Reasonable accommodation for individuals with disabilities