Data Architect
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Job Description
Azure Data Architect designing enterprise-scale Azure, Snowflake, and dbt data platforms for EXL. Defining architecture standards, modernization strategies, and analytics solutions.
Responsibilities:
- 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:
- 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:
- Benefits information provided at https://www.exlservice.com/us-careers-and-benefits
- Work from home
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