Azure Data Architect

Exavalu; United States; Remote; USD 140,000 - 180,000; Full time

Job summary

Exavalu is seeking an experienced Azure Data Architect to design enterprise data architecture and lead cloud modernization initiatives for US clients. This remote role requires strong Azure expertise and hands-on data platform experience.

You will define architecture, build Data Lake/Data Warehouse/Data Lakehouse on Azure, and guide migrations from on-premise to Azure. Collaboration with engineers, analysts, and stakeholders is essential.

Qualifications

• Experience as a Data Architect or Azure Data Architect.
• Strong hands-on experience with Microsoft Azure data services.
• Expertise in Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks, and SQL.
• Strong knowledge of Data Lake, Data Warehouse, Lakehouse, ETL/ELT, and Data Modeling.
• Experience with Python, PySpark/Spark, and large-scale data processing.
• Strong understanding of data integration, APIs, batch and real-time data pipelines.

Responsibilities

• Define enterprise data architecture, technology strategy, standards, and roadmap.
• Design scalable Azure-based Data Lake, Data Warehouse, and Lakehouse solutions.
• Lead data modernization and migration initiatives to Azure.
• Design data integration, ingestion, transformation, and processing architectures.
• Provide technical leadership across Azure Data Factory, Databricks, Synapse, ADLS, and Microsoft Fabric.
• Define data modeling, ETL/ELT, data pipeline, and integration patterns.
• Establish data governance, security, quality, metadata, and lineage frameworks.
• Evaluate architecture options for scalability, performance, reliability, and cost optimization.
• Collaborate with data engineers, analysts, developers, QA teams, and business stakeholders.
• Review designs, provide architectural guidance, and mitigate risks.

Skills

Data architecture

Stakeholder management

Communication skills

Problem-solving

Cloud experience

Tools

Microsoft Azure data services

Azure Data Factory

ADLS Gen2

Azure Synapse

Databricks

SQL

Python

PySpark

Job description

Exavalu Solutions India Pvt Ltd | Full time

Exavalu is a US based consulting firm specialized in Digital Transformation Advisory and Digital Solution Delivery for select industries like Insurance, Healthcare and Financial Services. Our Headquarters is in California, US with multiple offices across US, Canada, and delivery centres in India. We were founded by Industry executives and Consulting principals with deep industry experience that allows us to bring advisory strength and solution expertise to clients. We’re in a hyper growth trajectory growing at over 100% year on year.

Join our diverse and inclusive team where you will feel valued and motivated to contribute with your unique skills and experience.

Exavalu offers permanent remote working model as we believe in going where the right talent is.

Job Description

This is a remote position.

Overview

We are seeking an experienced Azure Data Architect to design and lead enterprise data architecture, cloud modernization, and data platform initiatives. The ideal candidate will have strong Azure expertise, hands-on knowledge of modern data platforms, and the ability to translate business requirements into scalable, secure, and high-performing data solutions.

Key Responsibilities

• Define enterprise data architecture, technology strategy, standards, and roadmap.
• Design scalable Azure-based Data Lake, Data Warehouse, and Lakehouse solutions.
• Lead data modernization and migration initiatives from on-premise to Azure.
• Design data integration, ingestion, transformation, and processing architectures.
• Provide technical leadership across Azure Data Factory, Databricks, Synapse, ADLS, and Microsoft Fabric.
• Define data modeling, ETL/ELT, data pipeline, and integration patterns.
• Establish data governance, security, quality, metadata, and lineage frameworks.
• Evaluate architecture options for scalability, performance, reliability, and cost optimization.
• Collaborate with data engineers, analysts, developers, QA teams, and business stakeholders.
• Review technical designs, provide architectural guidance, and ensure adherence to enterprise standards.
• Identify technical risks and dependencies and recommend appropriate architecture and mitigation strategies.

Requirements

Required Skills

• Proven experience as a Data Architect / Azure Data Architect.
• Strong hands-on experience with Microsoft Azure data services.
• Expertise in Azure Data Factory, ADLS Gen2, Azure Synapse, Databricks, and SQL.
• Strong knowledge of Data Lake, Data Warehouse, Lakehouse, ETL/ELT, and Data Modeling.
• Experience with Python, PySpark/Spark, and large-scale data processing.
• Strong understanding of data integration, APIs, batch and real-time data pipelines.
• Experience with data governance, security, quality, metadata, and lineage.
• Strong architecture, problem-solving, stakeholder management, and communication skills.

Preferred Skills

• Experience with Microsoft Fabric, Azure Purview, Power BI, Kafka, or Event Hubs.
• Experience with cloud migration and legacy data modernization.
• Knowledge of DevOps, CI/CD, Infrastructure as Code, and automated deployment.
• Experience in Insurance or Financial Services.
• Relevant Azure Data Architect/Data Engineering certifications.

Exavalu also promotes flexibility, adapting to the needs of employees, customers, and the business. It might be part-time work, working outside normal 9-5 business hours or working remotely. We also offer a welcome back program to help individuals return to the mainstream after a prolonged absence due to health or family reasons.

At Exavalu, we are committed to building a diverse and inclusive workforce. We welcome applications for employment from all qualified candidates, regardless of race, colour, gender, national or ethnic origin, age, disability, religion, sexual orientation, gender identity or any other status protected by applicable law. We nurture a culture that embraces all individuals and promotes diverse perspectives, where you can make an impact and grow your career.