Qualifications

• 5-7 years of experience in data architecture and engineering, specifically with Azure technologies
• Strong proficiency with Azure Databricks, Azure Data Factory, and Azure SQL DB
• Experience designing data ingestion pipelines with Delta Live Tables and Structured Streaming
• Capability to translate business requirements into scalable data architecture solutions
• Familiarity with Agile methodologies, including ADO and Sprint Planning
• Proficient in performance tuning Spark jobs and optimizing Databricks workflows
• Knowledge of .NET technologies and SQL Server, particularly in a cloud environment.

Responsibilities

• Architect and develop secure and scalable end-to-end data solutions on Azure.
• Lead the design of data ingestion pipelines catering to both batch and real-time data processing.
• Collaborate with stakeholders to translate business needs into practical data solutions.
• Drive initiatives aligning with the organization’s vision while managing large scale programs.
• Implement data quality checks and governance policies to safeguard data integrity and security.
• Monitor and enhance cloud data infrastructure for performance efficiency and cost management.
• Work closely with cross-functional teams to understand and fulfill data requirements.

Benefits

• Flexible work environment with opportunities for remote work
• Professional development programs to enhance skills and certifications
• Health and wellness benefits, including medical, dental, and vision insurance
• Generous leave policies, including vacation and sick leave
• Retirement savings plans with company matching contributions.