About this role
Hiring: Data Architect | Azure & Databricks
**Job Title:** Data Architect
**Experience:** 10+ Years
**Location:** Remote – PAN India
**Engagement Type:** Contract
**Duration:** 3–6 Months
**Working Hours:** 2:00 PM – 11:00 PM IST
Job Summary
We are looking for an experienced **Data Architect** to design and implement scalable enterprise data solutions using Microsoft Azure and Databricks. The ideal candidate will have strong expertise in enterprise data architecture, data modeling, data integration, ETL/ELT pipelines, and data governance.
The candidate will collaborate with business stakeholders, data engineers, and solution teams to translate business requirements into scalable data architectures, with a focus on supply chain analytics and enterprise system integration.
Key Responsibilities
- Design enterprise data architecture, solution blueprints, and scalable data models.
- Analyze business requirements and translate them into technical data solutions.
- Design and maintain logical and physical data models, business rules, and data governance standards.
- Architect end-to-end data flows, data integration, and ETL/ELT processes.
- Design, develop, and optimize data pipelines using Azure Data Factory and Databricks.
- Work with Azure Synapse Analytics and Azure Data Lake for enterprise data processing and analytics.
- Integrate data from multiple enterprise applications, including SAP S/4HANA.
- Implement data validation, reconciliation, quality checks, and monitoring processes.
- Establish best practices for metadata management, data governance, and data quality.
- Collaborate with business analysts, data engineers, and stakeholders to deliver reliable data solutions.
- Support cloud data modernization initiatives and enterprise data strategy.
- Identify opportunities to improve performance, scalability, and operational efficiency.
Required Skills
- Strong experience in Data Architecture, Solution Design, and Enterprise Data Modeling.
- Hands-on experience with Microsoft Azure and Azure Data Services.
- Expertise in Azure Data Factory (ADF), Azure Synapse Analytics, and Azure Data Lake.
- Strong experience with Databricks and scalable data pipeline architecture.
- Excellent knowledge of ETL/ELT, data integration, and data transformation.
- Experience with data validation, data quality management, and data governance.
- Understanding of enterprise business processes and stakeholder requirements.
- Experience integrating enterprise systems and handling complex data environments.
- Strong communication, analytical, and stakeholder management skills.
Preferred Qualifications
- Experience in supply chain analytics and business process integration.
- Experience with SAP S/4HANA data integration.
- Knowledge of Master Data Management (MDM) and enterprise data governance frameworks.
- Experience working with large-scale enterprise data platforms.
- Familiarity with Agile delivery methodologies.
- Azure or Databricks certifications are an advantage.
Mandatory Requirements
- Minimum 10+ years of relevant professional experience.
- Strong hands-on expertise in Azure data services and Databricks.
- Excellent English communication skills for working with international teams.
- Must be available for the 2:00 PM – 11:00 PM IST shift.
- Must be willing to undergo background verification, employment verification, and Police Clearance Certificate (PCC) checks.
- **Only in-house bench resources are eligible.**
Contract Details
- **Work Mode:** 100% Remote
- **Contract Duration:** 3–6 Months
- **Shift:** 2:00 PM – 11:00 PM IST
- **Engagement:** Contractual
How to Apply
Interested candidates who meet the mandatory requirements can apply through Indeed with their updated resume, total experience, relevant Azure/Databricks experience, current location, notice period, and availability for the required shift.
**Please apply only if you meet the mandatory technical and experience requirements and are available as an in-house bench resource.**
Pay: ₹110,000.00 - ₹120,000.00 per month
Benefits:
- Work from home
Work Location: Remote