Principal Data Engineer

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🕒 May 21

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Meazure Learning

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

📚 Education

🤝 B2B

☁️ SaaS

Education • B2B • SaaS

Meazure Learning is a company that specializes in developing, delivering, proctoring, and analyzing higher-education and credentialing exams. They provide end-to-end solutions, including remote exam proctoring, test program consultation, item writing, and advanced reporting technologies. With a focus on enhancing performance outcomes and streamlining assessment processes, Meazure Learning offers a comprehensive suite of software designed to optimize the exam experience for both test-takers and test administrators.

📋 Description

• Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. • Architect, design, and optimize scalable Data Warehouse and analytics solutions using Azure Synapse, Azure Data Lake Storage Gen2, Databricks, Delta Lake, and Microsoft Fabric. • Build and orchestrate robust ETL/ELT pipelines using Azure Data Factory, Synapse Pipelines, PySpark, and modern orchestration frameworks. • Implement Medallion Architecture (Bronze/Silver/Gold) and scalable data ingestion frameworks supporting batch, streaming, and CDC workloads. • Develop enterprise semantic models and optimize datasets for Power BI Premium, Fabric, and self-service analytics. • Establish enterprise standards for data modeling, governance, security, observability, and performance optimization. • Lead Data Warehouse modernization initiatives and implement scalable Star Schema, Snowflake, and Data Vault 2.0 models. • Drive platform scalability, MPP query tuning, workload optimization, and cloud cost optimization initiatives. • Implement CI/CD, DataOps, and Infrastructure-as-Code practices using Azure DevOps, GitHub Actions, Terraform, or Bicep. • Promote AI-assisted engineering practices leveraging GitHub Copilot, Cursor AI, and Azure OpenAI for development productivity and automation. • Mentor engineering teams and drive engineering excellence, automation, and reusable framework adoption.

🎯 Requirements

• Experience of 8 yrs to 10 yrs with dbt, Apache Airflow, Kafka/Event Hubs, or real-time analytics platforms. • Experience of 4 yrs to 6 Yrs in AI/ML data platforms, Azure OpenAI, or intelligent automation frameworks. • Experience of 4 yrs to 6 Yrs using AI-assisted coding tools such as GitHub Copilot or Cursor AI. • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect are preferred.

🏖️ Benefits

• Competitive Pay • Healthy Work Culture • Career Growth Opportunities • Learning and Development Opportunities • Company Sponsored Health Insurance • Referral Award Program • Company Provided IT Equipment (for remote team members) • Transportation Program (on-site team members) • Company Provided Meals (on-site team members) • 14 Company Provided Holidays • Generous Leave Program