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.
Ensure high performance, availability, and cost efficiency through monitoring, performance tuning, and continuous optimization.
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.
Requirements
While Kimco is a Microsoft-first organization (Azure/Microsoft Fabric),
experience delivering comparable solutions on AWS and/or with Snowflake and/or Databricks is also valued.
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).
Qualifications Required Bachelor’s 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
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/CD, infrastructure-as-code, and automated deployment patterns for data solutions.
Experience working in large-scale, enterprise or real estate / financial services data environments.
Benefits
The expected salary range for this position is between $115,000 and $140,000.
The actual compensation will be based on factors such as scope and
responsibilities of the position, candidate's work experience, education/training, job-related skills, internal peer equity, market and business considerations and other factors permitted by law. *
Kimco Realty is an Equal Opportunity Employer – Veteran/Disability **
Additional details
******Unless specifically contracted, resumes from recruiting agencies are not being accepted for this position.****
This role is responsible for developing modern data pipelines, enabling trusted analytics, and ensuring the reliability, security, and performance of cloud-based data solutions.
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
Partner closely with BI and analytics teams to enable trusted reporting and insights (e.g., Power BI and semantic models) across the organization.
requirements into scalable, future-proof data architectures in collaboration with business and engineering stakeholders.
Contribute to the company’s purpose by improving the data platform and analytics capabilities that enable better decision-making and positive impact. Travel up to 15%.
requirements into scalable, production-grade data architectures.