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 solid 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

📌 Data Architect (India)
🏢 Kasmoprav
📍 India