• Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock. • Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics. • Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments. • Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production. • Drive best practices for observability, including monitoring, alerting, and logging for AI platforms. • Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types. • Stay current with new tools and technologies to recommend improvements to architecture and operations. • Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG).

• Design, deploy, and operate Kubernetes clusters (EKS or self-managed) on AWS, ensuring high availability and security • Build and maintain CI/CD pipelines and internal developer tooling to improve engineering velocity • Automate infrastructure provisioning and operational tasks using Python and tools like Terraform, OpenTofu, and Ansible • Define and enforce platform standards around observability, cost management, and incident response • Partner with application teams to support containerized workloads and resolve infrastructure bottlenecks • Collaborate with Customer Success teams by providing reliable and scalable tooling that supports seamless customer onboarding, integrations, and service delivery

• Ensure Midnite's reliability, performance, and availability. • Shape the evolution of the core platform and set engineering standards. • Drive improvements across infrastructure and backend systems. • Work closely with the Head Of Platform Engineering and the global Platform team. • Manage a small team of engineers, providing direction and coaching. • Regularly contribute code, reviews, and production changes.

Role Description UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team. This is a remote based position. GENERAL SUMMARY OF DUTIES: - Design, build, and maintain UDR’s enterprise data platform in Snowflake. - Implement scalable and reliable data solutions that serve operational, analytical, and AI use cases. - Develop data pipelines using medallion architecture. - Create reusable data products and implement best practices for data transformation, quality, and governance. - Partner with cross-functional teams to deliver data solutions that drive business value and enable self-service analytics. Qualifications - Bachelor’s degree in computer science, data science, data engineering, software engineering, information systems, or related field; or equivalent combination of education and experience required. - Minimum of five to seven years of experience in data engineering, analytics engineering, or similar role with demonstrated experience building enterprise data platforms. - Snowflake experience required. SnowPro Core Certification preferred. - Proven experience implementing data warehouses or data lakes in cloud environments. - Track record of building data pipelines that serve multiple consumption patterns including analytics, operations, and AI/ML applications. - Experience with dimensional modeling, ETL/ELT development, and data transformation at scale. - Experience with Snowflake Cortex for semantic layer development preferred. - Proficiency integrating Snowflake with Power BI including DirectQuery and Import mode optimization preferred. - Experience building feature stores or preparing datasets for machine learning applications preferred. - Knowledge of CI/CD practices for data pipelines and automated testing frameworks preferred. - Experience with cloud platforms (AWS, Azure, or GCP) for data storage and processing preferred. Requirements - Design and implement UDR’s enterprise data platform in Snowflake. - Build and maintain scalable data pipelines from source systems through transformation to analytical and operational targets. - Develop well-defined, tested, documented, and code-reviewed datasets optimized for diverse business use cases. - Create dimensional models, data architectures, and semantic layers using Snowflake Cortex. - Design and maintain integration patterns between Snowflake and Power BI. - Implement data orchestration workflows using Apache Airflow. - Establish data quality testing frameworks and governance controls. - Prepare feature stores and training datasets for AI and machine learning applications. - Troubleshoot and resolve production issues related to data platform performance. - Integrate data from vendor systems and external sources using Snowflake ingestion methods. - Partner with the Snowflake Administrator on platform optimization and security. - Contribute to engineering design sessions and code reviews. - Evaluate and adopt new technologies and tools that improve data platform capabilities. - Perform other duties as assigned or as necessary. Benefits - Medical, Dental, Vision Plans - Medical Flexible Spending Account - Dependent Care Spending Account - Lifestyle Spending Account - Supplemental Term Life Insurance - Critical Illness Plan - Supplemental Short-Term Disability Insurance / AD&D Insurance - Voluntary Long Term Care Insurance - 401(k) Plan with company match Salary Range - $130,000.00/yr. – $170,000.00/yr., depends on experience Bonus Potential - Eligible for 10% annual bonus potential, based on personal and company performance Anticipated Close Date - June 30, 2026