ProMach
ProMach
1.001 – 5.000 Angajați
B2BHardwareIndustria prelucrătoare
ProMach este o companie globală de producție și echipamente hardware B2B care dezvoltă echipamente pentru procesare și ambalare, sisteme de producție integrate și servicii conexe pentru producătorii de bunuri de larg consum ambalate și de produse farmaceutice. Portofoliul său include soluții pentru procesare, umplere, îmbuteliere, sterilizare, pasteurizare, sisteme pentru pungi și tăvi, închidere, etichetare, codificare, robotică, paletizare, transportoare și integrarea la cheie a liniilor de producție. ProMach reunește peste 50 de mărci de produse, susținute de peste 90 de locații de producție și vânzări, de o forță de muncă globală de peste 6.000 de angajați și de peste 150.000 de utilaje aflate în exploatare.

Lead Data Architect – ProMach (United States Remote)

Lead the design of Databricks-based enterprise data platforms supporting ProMach’s packaging automation business. Drive integrations, migrations, data modeling, and scalable ETL/ELT development.

Descriere

  • Design and deliver scalable data architectures spanning hybrid cloud and on-premises environments
  • Integrate ERP platforms such as SAP, Oracle, and SyteLine with CRM systems including Salesforce
  • Build and optimize scalable ETL/ELT pipelines with distributed processing and orchestration technologies
  • Direct large-scale data migrations while protecting data integrity, lineage, and business continuity
  • Create and maintain logical and physical models for transactional and analytical workloads
  • Partner with data engineers and analysts to deploy and improve data solutions
  • Optimize workflow and storage performance, scalability, and reliability through indexing, partitioning, and caching
  • Advance data quality, governance, and metadata practices across reporting and analytics environments
  • Provide technical direction and mentorship to data engineering teams
  • Promote modern data engineering practices and tooling
  • Evaluate emerging data architecture technologies to support innovation and modernization

Cerințe

  • Bachelor’s degree in computer science, information systems, or a related discipline
  • At least seven years of experience in data architecture, data engineering, or a comparable field
  • Practical Databricks experience, including data pipeline development, Delta Lake, and Spark-based transformations
  • Proficiency in relational database development, including T-SQL, schema design, and indexing, with SQL Server or PostgreSQL
  • Extensive experience integrating and modeling ERP and CRM data from SAP, Oracle, SyteLine, and Salesforce
  • Proficiency in SQL and Python for transformation, analysis, and automation
  • Experience developing resilient ETL/ELT workflows and supporting large-scale data migrations
  • Working knowledge of data governance, metadata management, and data security practices
  • Strong communication and collaboration skills with technical and business audiences
  • Databricks Unity Catalog or another enterprise data cataloging platform is preferred
  • Knowledge of real-time processing and streaming architectures is preferred
  • Power BI or Tableau experience is preferred
  • Familiarity with manufacturing, financial, and supply chain data domains is preferred
  • Experience applying CI/CD, infrastructure automation, and DevOps to data solutions is preferred
  • Role involves minimal reaching, lifting, and walking
  • Regular computer, telephone, typing, and speaking activities are required
  • Must be authorized to work in the United States; ProMach uses E-Verify for new hires

Beneficii

  • Comprehensive medical and dental coverage
  • Life insurance
  • Generous paid time off
  • Retirement savings plan with company matching
  • Benefits eligibility begins on the first day of employment with no waiting period
  • Opportunities for professional growth
  • Open and collaborative workplace that encourages individual initiative
  • Reasonable accommodations are available for qualified individuals with disabilities

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