Data Architect

EXL

. Design and implement scalable, secure, and high-performing data architectures on Microsoft Azure .

Posted 9/18/2026full-timeRemote • New Jersey • United StatesSeniorLead💰 $140,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures on Microsoft Azure, with strong capabilities in data governance, security, and performance optimization. Proficient in leading data migration initiatives and providing technical leadership to data engineering teams.

Highest-signal resume keywords

Microsoft Azure Data ServicesSnowflake Data Warehouse SolutionsAzure Data FactoryDbt for Data TransformationSQL and Python Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData WarehousingData ArchitectureEnterprise Data ModelingETL/ELT Pipeline DesignData GovernancePerformance TuningCI/CDVersion ControlData Lake Design

Soft Skills

Stakeholder ManagementCommunicationSolution DesignTechnical Leadership

Tools & Technologies

Azure DatabricksSpark/PySparkAzure Data Lake Storage Gen2Azure Synapse AnalyticsPower BI

Certifications & Qualifications

Azure CertificationSnowflake Certification

Industry Keywords

BFSIInsurance

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Design and implement scalable, secure, and high-performing data architectures on Microsoft Azure
Architect end-to-end data platforms leveraging Azure services, Snowflake, and dbt
Define enterprise data models, integration patterns, architecture standards, and reusable frameworks
Lead data migration and modernization initiatives from legacy platforms to Azure and Snowflake
Design and optimize ETL/ELT pipelines and orchestration frameworks using Azure Data Factory and dbt
Establish best practices for data governance, security, metadata management, lineage, and data quality
Collaborate with business stakeholders, solution architects, and engineering teams to translate requirements into scalable technical solutions
Drive architecture reviews, performance optimization, technology roadmap planning, and design governance
Provide technical leadership, guidance, and mentoring to data engineering teams

Requirements

What you’ll need

Bachelor's degree in engineering, computer science, or a related field
8+ years of experience in data engineering, data warehousing, data platforms, or data architecture
Strong expertise in Microsoft Azure data services and cloud-native data architecture
Hands-on experience with Azure Data Factory for data integration, pipeline development, and orchestration
Strong experience architecting, implementing, and optimizing Snowflake data warehouse solutions
Expertise in dbt for data transformation, modeling, testing, documentation, and deployment
Strong proficiency in SQL, Python, and enterprise data modeling, including dimensional and normalized approaches
Experience designing modern data lakes, data warehouses, and cloud-based analytics platforms
Strong understanding of data governance, security, lineage, quality, and performance tuning
Experience with CI/CD, Azure DevOps, version control, and deployment automation
Excellent stakeholder management, communication, solution design, and technical leadership skills
Experience with Azure Databricks and Spark/PySpark
Knowledge of Azure Data Lake Storage Gen2 and Azure Synapse Analytics
Exposure to Power BI and enterprise analytics platforms
Experience in BFSI or Insurance domain is an advantage
Azure and/or Snowflake certifications are preferred

Benefits

Comp & perks

Benefits information provided at https://www.exlservice.com/us-careers-and-benefits
Work from home