Data Architect

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