The Role
Designs enterprise data architectures, models, integration solutions, pipelines, and governance standards for supply chain and manufacturing environments. Leads Azure and Databricks data platform implementations, including Azure Data Factory, Synapse Analytics, and Data Lake solutions. Collaborates with stakeholders, engineers, and business teams to translate requirements into scalable architectures, improve data quality, support modernization, and optimize enterprise data flows.
Summary Generated by Built In
Position: Data Architect (Supply Chain)
Employment Type: Contract + Remote
Domain: Supply Chain / Logistics / Manufacturing
Technology Stack: Microsoft Azure, Azure Data Services, Databricks
Position SummaryWe are seeking an experienced Data Architect to lead the design and implementation of scalable enterprise data solutions that support business and analytics needs. The ideal candidate will have a strong background in data architecture, data modeling, and solution design, with proven experience in supply chain domains and modern cloud-based data platforms such as Azure and Databricks.
The role involves collaborating with business stakeholders, functional teams, and engineering teams to translate business requirements into robust data architectures and deliver high-quality, reliable, and scalable data solutions.
Key Responsibilities- Design and develop enterprise-wide data architectures, data models, and solution blueprints aligned with business objectives.
- Collaborate with stakeholders to understand supply chain processes, requirements, and challenges and translate them into scalable data solutions.
- Define and maintain logical and physical data models, business rules, and data governance standards.
- Design and oversee end-to-end data flows, transformation processes, and integration architectures.
- Ensure data quality, consistency, and accuracy across multiple systems through validation and reconciliation.
- Lead data architecture and integration across enterprise systems, including SAP S/4HANA and other business applications.
- Design and optimize data pipelines using Azure and Databricks technologies.
- Establish best practices for data architecture, data management, metadata management, and data governance.
- Collaborate with data engineers, business analysts, and solution teams to deliver high-quality data solutions.
- Support data modernization initiatives and contribute to the organization's data strategy and roadmap.
- Identify opportunities to improve data integration, performance, scalability, and operational efficiency.
- Proven experience as a Data Architect, Solution Architect, or Enterprise Data Architect.
- Strong expertise in data architecture, solution design, and enterprise data modeling.
- Mandatory experience in Supply Chain, Logistics, Manufacturing, or related business domains.
- Ability to translate business requirements into scalable data solutions.
- Hands-on experience with:
- Microsoft Azure and Azure Data Services
- Azure Data Factory (ADF)
- Azure Synapse Analytics
- Azure Data Lake
- Databricks
- Strong knowledge of data integration, ETL/ELT processes, and data transformation frameworks.
- Experience designing scalable data pipelines and enterprise data platforms.
- Understanding of data validation, data quality management, and data governance principles.
- Excellent stakeholder management and communication skills.
- Experience with cloud-based analytics and modern data platform architectures.
- Knowledge of Master Data Management (MDM) and data governance frameworks.
- Experience working in large-scale enterprise environments.
- Familiarity with Agile delivery methodologies.
- Azure or Databricks certifications are an advantage.
Data Architecture | Solution Design | Data Modeling | Supply Chain Analytics | Microsoft Azure | Azure Data Factory | Azure Synapse Analytics | Databricks | Data Integration | ETL/ELT | Data Validation | Data Governance | Data Quality Management | Stakeholder Management | Business Requirement Analysis | Enterprise Data Platforms
Skills Required
- Proven experience as a Data Architect, Solution Architect, or Enterprise Data Architect
- Strong expertise in data architecture, solution design, and enterprise data modeling
- Experience in Supply Chain, Logistics, Manufacturing, or related business domains
- Ability to translate business requirements into scalable data solutions
- Hands-on experience with Microsoft Azure and Azure Data Services
- Hands-on experience with Azure Data Factory
- Hands-on experience with Azure Synapse Analytics
- Hands-on experience with Azure Data Lake
- Hands-on experience with Databricks
- Strong knowledge of data integration, ETL/ELT processes, and data transformation frameworks
- Experience designing scalable data pipelines and enterprise data platforms
- Understanding of data validation, data quality management, and data governance principles
- Excellent stakeholder management and communication skills
- Experience with cloud-based analytics and modern data platform architectures
- Knowledge of Master Data Management and data governance frameworks
- Experience working in large-scale enterprise environments
- Familiarity with Agile delivery methodologies
- Azure or Databricks certifications
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The Company
What We Do
Techdome is a technology consultancy and IT solutions provider founded in 2020. It helps businesses modernize operations and navigate digital transformation through scalable, end-to-end services spanning planning, building, designing, developing, and launching technology solutions, alongside AI, cloud computing, automation, data engineering, machine learning, custom large language models, and cybersecurity. Its mission is to make complex technology accessible and support business growth across diverse industries and markets.
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