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Databricks Architect

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Databricks Architect

Adastra Corp

Databricks Architect

Skills

DatabricksData AnalysisSAP ERPSupply ChainAzure

20 hours ago

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Important information


Contract type:

Permanent

Location:

India

Work mode:

Remote

Published on:

21 October 2026

What they need


  • Databricks (DBX) Architect
  • Databricks (DBX): Mandatory
  • Microsoft Azure: Mandatory
  • SAP: Required, but not a core requirement
  • Supply Chain: Good to have

Data Architect (Supply Chain)Position

Summary

We 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.This role will collaborate closely with business stakeholders, functional teams, and engineering teams to translate business requirements into robust data architectures and ensure high-quality, reliable, and scalable data solutions across the organization.

Key Responsibilities

  • Design and develop enterprise-wide data architecture, data models, and solution blueprints aligned with business objectives.
  • Collaborate with business stakeholders to understand supply chain processes, requirements, and challenges, translating 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, data transformation processes, and integration architectures.
  • Ensure data quality, consistency, and accuracy across multiple systems and platforms through validation and reconciliation processes.
  • Lead the architecture and integration of data from various 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.
  • Work closely 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 for improving data integration, performance, scalability, and operational efficiency.

Required Qualifications

  • Proven experience as a Data Architect, Solution Architect, or Enterprise Data Architect.

  • Strong experience in data architecture, solution design, and enterprise data modeling.

  • Mandatory experience in Supply Chain, Logistics, Manufacturing, or related business domains.

  • Strong understanding of business processes and the ability to translate business requirements into data solutions.

  • Hands-on experience with:

  • Microsoft Azure

  • Azure Data Services

  • Azure Data Factory

  • Azure Synapse Analytics

  • Azure Data Lake

  • Databricks

  • Experience integrating data from SAP S/4HANA and other enterprise applications.

  • Strong knowledge of data integration, ETL/ELT processes, and data transformation frameworks.

  • Experience designing scalable data pipelines and enterprise data platforms.

  • Strong understanding of data validation, data quality management, and data governance principles.

  • Excellent stakeholder management and communication skills.

Preferred Qualifications

  • 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 a plus.

Key Skills

  • Data Architecture
  • Solution Design
  • Data Modeling
  • Supply Chain Analytics
  • SAP S/4HANA
  • Azure Cloud
  • Azure Data Factory
  • Azure Synapse
  • Databricks
  • Data Integration
  • ETL/ELT
  • Data Validation
  • Data Governance
  • Data Quality Management
  • Stakeholder Management
  • Business Requirement Analysis
  • Enterprise Data Platforms

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