SUMMARY The Senior Snowflake Engineer will be responsible for the design, deployment, optimization, and ongoing operation of Snowflake environments supporting core fund administration platforms, analytics, reporting, and downstream integrations. Additionally, this role partners closely with application development, infrastructure, data, and business teams to ensure scalable, secure, and well governed data solutions that align with regulatory and client requirements in the financial services industry. TECHNOLOGY STACK - Snowflake Data Cloud. - Microsoft Azure. - MS SQL and advanced data modeling techniques. - ETL and ELT frameworks and data pipelines. - Data governance, security, and access control tooling. - BI and analytics platforms consuming Snowflake data. KEY ACCOUNTABILITIES - Designs and maintains Snowflake account architecture, including environments, databases, schemas, roles, and warehouses. - Leads and supports Snowflake implementation efforts, migrations, and ongoing platform optimization. - Defines data architecture standards, modeling patterns, and best practices for analytics and operational use cases. - Implements and maintains security, access controls, and data segregation aligned with regulatory and client requirements. - Monitors performance, cost usage, and capacity, and implements optimization strategies as needed. - Supports data governance initiatives, including data quality, lineage, and lifecycle management. - Develops and maintains documentation for Snowflake architecture, configurations, and operational procedures. WORKING RELATIONSHIPS - Serves as the primary Snowflake subject matter expert across the organization. - Provides guidance, mentorship, and technical leadership to internal teams working with Snowflake. - Partners with application development and IT infrastructure teams to design performant, scalable data pipelines, and integrations. - Mentors associates through instruction, coaching, providing real-time on-the-job experiences, modeling effective practices, and advising on methods used. May perform other duties as required and assigned. EDUCATION AND EXPERIENCE - 5+ years of experience in database architecture or data engineering, including designing and operating Snowflake in production and managing large‑scale Snowflake data migrations. - Strong background deploying and maintaining cloud-based data platforms, with exposure to BI, reporting, and advanced analytics use cases on Snowflake. - Experience in the financial services industry, ideally supporting fund administration or asset management platforms. KNOWLEDGE - ETL and ELT tools and modern data engineering frameworks. - Regulatory and compliance considerations related to financial data. - Data security, role-based access control, and auditing. - Microsoft Office Suite. - Adobe Acrobat. SKILLS AND ABILITIES - Advanced SQL, data modeling and performance tuning skills. - Defines or contributes to enterprise data strategy and architecture. - Aligns associates with company values and goals. - Plans and delegates the work of others. - Motivates and inspires others. - Assesses the performance of self and associates to make improvements or take corrective action. - Plans and develops systems and procedures to improve operating quality and efficiency of department in accordance with company policies and procedures. - Troubleshoots issues utilizing creative and critical thinking skills. - Multitasking, analytical, and organizational skills. - Initiative-taking, strategic, and meticulous approaches with a strong commitment to quality, efficiency, and effectiveness. - Demonstrates personal integrity, responsibility, and accountability. - Effectively uses resources such as time and information in conjunction with associates. - Participates in solving problems and making decisions. - Presents and expresses ideas and information, written and oral, clearly, and concisely. - Actively listens to others to achieve understanding and supports an open exchange of ideas and information. - Identifies needs, arranges for, and obtains resources to accomplish individual and department goals. - Establishes and develops effective working relationships with associates and clientele during both favorable and unfavorable situations. - Modifies team and individual priorities and deadlines in response to added information, changing conditions, or unexpected obstacles and ensures completion. Equivalent education, experience, and KSA’s will be considered. Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

• Develop and execute comprehensive strategies for RIS data migration. • Collaborate with stakeholders to gather and analyze migration requirements. • Extract clinical, operational, and administrative data from legacy RIS systems. • Assess and map legacy data structures, including patient demographic records, diagnostic radiology reports, scanned documents, and future appointments. • Assist in assembling and loading RIS system’s master lists including referring physicians, insurance providers, procedure codes, billing codes, organizational structures such as practices, sites, and rooms, and other master look-up tables. • Use ETL tools to clean, transform, and prepare data for migration. • Provide post-migration support for product go-live implementations. • Partner with cross-functional teams, including customers, IT staff, compliance officers, and third-party vendors. • Document the entire migration process, including methodologies, tools, and reports. • Train staff on how to manage, access, and use data in the new RIS system. • Perform comprehensive validation to ensure data completeness and resolve inconsistencies. • Conduct post-migration verification and prepare detailed reports for stakeholders. • Identify and resolve migration-related issues, such as data inconsistencies or system compatibility challenges.

• Build and deploy the data pipelines that power Companys machine learning platform. • Develop warehouse architectures that integrate data from diverse sources. • Design analytics solutions for both product development and internal collaborators.

• Designing, developing, and maintaining data integration solutions that drive business intelligence and decision-making