• 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

• Configure and wire Azure services within pre-provisioned environments to support application workloads • Implement data ingestion pipelines using Azure services • Configure and manage: o Blob Storage o Event-driven architecture o Cloud-based databases • Set up secure access using managed identities and role-based access control • Support application deployment and CI/CD workflows • Write lightweight Python scripts for automation and integration • Run AzCopy operations for large-scale data backfills from source systems into Blob Storage • Configure Application Insights for monitoring, logging, and alerts • Create clear documentation and operational runbooks • Collaborate with application engineers to ensure seamless platform integration

Role Description We’re looking for an experienced Lead Platform Software Engineer to ensure Midnite is reliable, performant, and always available, no matter the time of day. You’ll play a key role in shaping the evolution of our core platform, setting engineering standards, and driving improvements across our infrastructure and backend systems. - Work closely with our Head Of Platform Engineering and the global Platform team. - Take ownership of critical systems design, reliability engineering, and deployment practices. - This is a hands-on leadership role, spending most of your time in the code. - Manage a small team of engineers, helping set direction and coaching day-to-day. - Create a high-performing, engineering-led culture. - Expect meaningful ownership and to be challenged and rewarded in equal measure. Qualifications - 7+ years of engineering experience with deep expertise in Python or an equivalent modern language (e.g. Go, Rust), and cloud-based systems. - Proven experience leading or managing engineers in a platform, backend, or infrastructure-focused role. - Strong background in building resilient, scalable, and high-performance distributed systems. - Ability to break down ambiguous and complex problems into clear plans and well-defined milestones. - Demonstrated impact improving reliability, performance, and the developer experience. - Hands-on technical leadership - able to dive into code and architecture while guiding others. - Strong communication and cross-functional collaboration skills. - Experience integrating third-party systems at scale and acting as the technical lead for those relationships. - Familiarity with modern delivery practices and a deep appreciation for quality, testing, and stability. Requirements - Own and drive architectural decisions across the platform, focusing on uptime, resilience, scalability, and performance. - Lead technical design for complex cross-team projects, especially those touching core infrastructure or platform reliability. - Identify and drive improvements in deployment pipelines, observability, performance monitoring, and systems architecture. - Anticipate failure points, plan for scaling, and ensure the platform remains robust as usage grows. - Guide the adoption of best practices in platform engineering, reliability, testing, and operational excellence. - Work closely with partners and vendors to integrate their products into our systems in a safe, repeatable, and scalable way. - Support senior engineers in unblocking cross-team issues, acting as the technical escalation point. - Regularly contribute code, reviews, and production changes as part of the team’s daily delivery. Benefits - Private healthcare coverage to support your physical health and wellbeing. - Virtual GP access so you can get medical advice quickly and conveniently. - Pension scheme to help you plan and invest in your future. - Tenure holiday policy: After three years you receive an extra two days leave, increasing to 30 days annually after five years. - Flexible working and a fully supported home office setup so you can do your best work from home.