
Data Architect
Posted 3 days ago

Posted 3 days ago
This is a fully remote position, open to applicants in New Jersey.
• Design and create scalable, secure, and high-performance data architectures on Microsoft Azure.
• Architect comprehensive data platforms utilizing Azure services, Snowflake, and dbt.
• Define enterprise data models, integration patterns, architecture standards, and reusable frameworks.
• Lead data migration and modernization projects from legacy systems to Azure and Snowflake.
• Design and enhance 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.
• 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.
• Significant experience in 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 both dimensional and normalized approaches.
• Experience in 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 the BFSI or Insurance domain is a plus.
• Azure and/or Snowflake certifications are preferred.
• Benefits information provided at https://www.exlservice.com/us-careers-and-benefits.
• Work from home.
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