• Own and evolve Measurabl’s data platform architecture—warehousing, ETL/ELT pipelines, data quality frameworks, and data governance practices • Drive data reliability and observability at scale • Establish and enforce data contracts, lineage, and cataloging standards across the organization • Evaluate and adopt modern data stack technologies (e.g., Snowflake, dbt, Airflow, Spark, Kafka) • Define and execute the ML/AI product roadmap • Lead development of production ML systems • Champion the responsible adoption of LLMs and generative AI across the product • Establish MLOps practices • Build and scale sustainability-specific data models, carbon accounting frameworks, and benchmarking analytics • Drive department engagement and performance through hands-on leadership • Define and execute annual strategic plan/focus and department OKRs

Title: Senior Mainframe Data Storage Specialists (multiple positions) in Irving, TX. Location: Irving, TX, United States Remote Job Description: At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One. Job Description U.S. Bank is seeking the position of Senior Mainframe Data Storage Specialists (multiple positions) in Irving, TX. Essential Responsibilities: - Assess computer system technology, selection, and roadmap of Mainframe Storage. - Design, implement, and manage Distributed Systems FC storage solutions from Mainframe storage. - Lead and participate in new technology evaluations, product upgrades, hardware refreshes, and data migrations. - Establish Storage Technology selection criteria for applications. - Provide solutions and changes to system procedures to promote operational efficiency. - Oversee storage provisioning, reclaims, replication, migrations, and other storage requirements to facilitate business operations for the storage network environment. - Evaluate performance management and resource optimization in Mainframe Storage. Basic Qualifications: Position requires a Master's degree in Computer Science, Computer Engineering, or Information Technology, and 2 years in a Computer Systems Engineer, or related, occupation. Required Skills/Experience: Must include 2 years of experience with each of the following: - REXX, CLIST, and JCL; - DFSMS for mainframe storage management and optimization; - EMC Symmetrix, Powermax, Vmax, SRDF/A, and SnapVX; - DS8000, DASD, TS7700, TAPE, and GDPS; - Brocade SAN zoning and troubleshooting, SAN384B-2, and SANNAV; - DELLEMc DLm Hardware and Utilities; - CA-Vantage; and, - Backup, recovery, and technical troubleshooting of Catalog and VTOC. Teams may work from home and the office. Base pay range may vary if an offer is made for work in a different location. Pay Range: $141,336 - $155,000. (#LI-NDI #LI-DNI #LI-DNP #DE-DNP #INDdni #IND-DNP). - The examination for this position may include a supplemental questionnaire. Improper or missing responses could affect your application. - This position is not eligible for visa sponsorship. If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants. Benefits: Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following: - Healthcare (medical, dental, vision) - Basic term and optional term life insurance - Short-term and long-term disability - Pregnancy disability and parental leave - 401(k) and employer-funded retirement plan - Paid vacation (from two to five weeks depending on salary grade and tenure) - Up to 11 paid holiday opportunities - Adoption assistance - Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law. E-Verify U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures. Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies. Posting may be closed earlier due to high volume of applicants.

Who we are: Soname Solutions is a group of enthusiasts who are in love with data analytics and big data. We help our clients in becoming data-driven companies. Our team keeps expanding, and it includes 60+ professionals from Germany, Poland and Georgia. We blend deep expert knowledge with humanity. We have been working in data analysis for the last 15 years. This vast experience, analytical skills of our team members, hunger for knowledge define our way of working with each other and our clients. This is all seasoned with kindness, curiosity, empathy, willingness to help, trust, and transparency. The best qualities of our team serve us in finding optimal technical solutions that please our customers. All of that is a base for long-term relations with international corporations. They are always wowed with our services. **Position:** We are looking for a Senior Data Warehouse Developer to become a part of our team. **About the project:****As part of this project, we cooperate with German telecom company. **Tech stack:** SQL, DWH, Power BI, Oracle, PostgreSQL.

• Build and maintain ELT pipelines using Fivetran and custom integrations that ingest data from source systems including Procore, Salesforce, ERP platforms, and internal databases into Snowflake • Develop, test, and document dbt models that transform raw data into clean, reliable datasets for analytics and reporting across Finance, Production, Supply Chain, and Engineering • Build dimensional models and staging layers following team conventions, ensuring data is structured for optimal Tableau dashboard performance and ad-hoc analysis • Write and maintain dbt tests, monitor data freshness, and investigate data quality issues when they arise, owning resolution through to root cause • Work with APIs and data connectors to integrate new data sources, troubleshoot ingestion issues, and ensure reliable data flow into the warehouse • Maintain clear documentation for data models, pipeline configurations, and business logic so the team can understand and extend your work • Partner with business stakeholders to understand data needs, clarify requirements, and deliver datasets that answer real operational questions • Monitor query performance and pipeline efficiency, identifying opportunities to optimize warehouse costs and model run times • Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to improving the team’s development processes • Stay current with modern data stack tools and practices, bringing ideas for improvement back to the team • Use AI coding assistants and agent-based tools to accelerate pipeline development, code generation, testing, and documentation. Manage AI agents as part of your daily workflow to increase throughput and quality