Enterprise Databricks Architect (100% Remote)

Job Title: Enterprise Databricks Architect

Duration: 6+ months CTH

Schedule: 100% Remote



Job Description:

The Enterprise Data Architect will play a critical role in shaping the data s future. This individual will define and drive the enterprise data architecture strategy, establish a scalable data architecture framework, and lead the design and stand-up of modern data platform in close partnership with IT. This is a high-impact, highly visible role operating at the intersection of strategy and execution.

Required Qualifications

• 10+ years of experience in data architecture, data engineering, or a related discipline
• Proven experience designing and implementing enterprise data platforms on Azure (Data Lake, Synapse, Data Factory, etc.) and Databricks
• Strong experience integrating complex ERP and CRM systems, particularly SAP S/4HANA and Salesforce
• Hands-on experience with Informatica for data integration, data quality, and/or master data management
• Demonstrated ability to build enterprise data and AI architecture frameworks from the ground up not just inherit and maintain existing ones
• Strong communication skills with the ability to translate complex architectural concepts for both technical and executive audiences
• Demonstrated team leadership and ability to guide junior data engineers, analysts and architects

Preferred Qualifications

• Experience with SAP Business Data Cloud (BDC) and/or Siemens TeamCenter X, STIBO MDM
• Background in manufacturing, industrial automation, or B2B technology environments
• Experience working in or alongside a formal data governance program
• Familiarity with data mesh, data product, or domain-oriented architecture patterns
• Familiarity with Digital Thread and Digital Twin concepts and architecture patterns
• Cloud or Architectural certifications - Major Cloud/TOGAF

Key Responsibilities

Enterprise Data Architecture Strategy

• Define and own Companies enterprise data architecture framework, including data domains, data flows, integration patterns, and governance guardrails
• Establish architectural standards, principles, and best practices that guide how data is modeled, stored, accessed, and governed across the enterprise
• Serve as the architectural authority on data-related decisions across business systems and platforms

Data Platform Build-Out

• Lead the architecture and design of Companies cloud-based data platform on Azure and Databricks, ensuring it is scalable, secure, and fit for enterprise-grade analytics and AI/ML workloads
• Partner closely with IT to translate architectural blueprints into implemented and scaled production-ready platform capabilities
• Define integration architectures connecting core systems including SAP S/4HANA, SAP Business Data Cloud (BDC), Salesforce CRM, Siemens TeamCenter X, and Informatica

Cross-Functional Collaboration

• Engage with business stakeholders, data product owners, and technology teams to understand requirements and ensure architecture decisions align with business priorities
• Work in partnership with the VP of Data and CDO to align data platform capabilities with the broader enterprise data strategy
• Provide architectural guidance to data engineering, analytics, AI and governance teams
• Lead Proof of Concepts (POC), Proof of Values (POV) and Pilots for fitting technology, cost, viability and adoption

Governance & Data Quality

• Design and embed data governance, metadata management, and data quality frameworks into the architecture using Informatica and aligned tooling
• Define master data architecture patterns across key domains (Customer, Product, Supplier, etc.)