Data Engineer

The Data Engineer will play a critical role in designing building and scaling enterprise data platform in the cloud. This role is responsible for developing modern data pipelines enabling trusted analytics and ensuring the reliability security and performance of cloud-based data solutions. While this is a Microsoft-first organization (Azure/Microsoft Fabric) experience delivering comparable solutions on AWS and/or with Snowflake and/or Databricks is also valued. The role partners closely with business analytics and engineering teams to translate complex data requirements into scalable future-proof architectures. This role will drive modernization initiatives establish data engineering best practices and mentor team members while continuously improving data quality accessibility and operational efficiency.

Key Responsibilities

• Design build and maintain scalable secure and cost-efficient data solutions on a cloud data platform (Microsoft Azure/Microsoft Fabric preferred; AWS and comparable platforms considered).
• Develop and optimize modern ETL/ELT pipelines supporting enterprise systems such as Salesforce MRI and other internal and external data sources.
• Lead cloud data platform modernization and migration initiatives reducing manual processes and improving data reliability.
• Define and enforce data architecture governance security and quality standards across the data ecosystem.
• Partner closely with BI and analytics teams to enable trusted reporting and insights (e.g. Power BI and semantic models) across the organization.
• Ensure high performance availability and cost efficiency through monitoring performance tuning and continuous optimization.
• Translate complex business requirements into scalable future-proof data architectures in collaboration with business and engineering stakeholders.
• Support the development of training materials and conduct workshops for team members
• Evaluate and adopt new data technologies and capabilities (e.g. Microsoft Fabric Azure services Snowflake Databricks) to drive innovation and long-term platform scalability.
• Contribute to the companys purpose by improving the data platform and analytics capabilities that enable better decision-making and positive impact.
• Travel up to 15%.

Qualifications

Required

• Bachelors degree in computer science Engineering Information Systems or equivalent practical experience.
• 5 years of experience in data engineering with at least 3 years designing and delivering cloud-based data solutions (Azure preferred; AWS and other major cloud platforms considered).
• Hands-on experience with modern cloud data engineering tools and services such as Microsoft Fabric (Data Factory Synapse) Azure Data Factory/Azure Synapse Databricks and/or Snowflake.
• Proven expertise in building and optimizing large-scale ETL/ELT pipelines for high-volume enterprise data environments.
• Advanced SQL skills and experience with data modeling for analytics and reporting workloads.
• Experience integrating data from enterprise systems such as Salesforce ERP/property management platforms (e.g. MRI) or similar SaaS applications.
• Solid understanding of data governance security data quality and access control within cloud data platforms (Azure preferred).
• Demonstrated ability to translate complex business requirements into scalable production-grade data architectures.
• Strong communication skills with the ability to collaborate effectively across business analytics and engineering teams.

Preferred

• Cloud and data platform certifications (Azure preferred) such as DP-203 (Data Engineering on Microsoft Azure) or DP-600 (Microsoft certified: Fabric Analytics Engineer Associate) or equivalent AWS certifications or Snowflake/Databricks credentials.
• Hands-on experience with Power BI and enabling self-service analytics through a governed semantic layer (Microsoft Fabric experience a plus).
• Familiarity with cloud cost optimization performance tuning and monitoring of data platforms at scale.
• Experience with cloud data platform migrations and modernization initiatives.
• Knowledge of CI/CDinfrastructure-as-codeand automated deployment patterns for data solutions.
• Experience working in large-scale enterprise or real estate / financial services data environments.

The expected salary range for this position is between $115000 and $140000.