1 week ago Be among the first 25 applicants Get AI-powered advice on this job and more exclusive features. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. We are seeking an Enterprise Data Architect to spearhead data initiatives. In this pivotal role, you will define data architecture strategies and drive solutions for our enterprise data warehouse. You will collaborate with business and IT teams to ensure that our data systems are high-performing and scalable. If you are ready to influence the data domain, we encourage you to apply. Responsibilities - Collaborate with business stakeholders and IT teams to define and document data architecture requirements - Define and design solutions for the enterprise data warehouse, integrating data from diverse insurance and reinsurance systems - Map Source to Target processes tailored for processing high data volumes - Develop logical and physical data models for implementation on Microsoft SQL Server platforms - Coordinate closely with the development team to ensure proper implementation of mappings into executable code - Outline methodologies for data collection and validation with SQL-based solutions to ensure data quality - Create enterprise data models for reporting and guide reporting teams in leveraging the data warehouse efficiently - Engage in release planning activities and verify post-deployment system changes - Build Microsoft SQL Server views to support reporting and dashboard creation - Identify and resolve issues in SQL and Informatica mappings, as well as optimize stored procedures Requirements - 7 years of experience in data architecture and design collaborating with development teams - 5 years of domain expertise in insurance and reinsurance industries - Background in extracting data from insurance applications - Extensive proficiency in data warehousing, ETL, and business intelligence architectures - Competency in designing and refining semantic layer reporting views - Knowledge of relational database management systems such as Microsoft SQL Server - B.S. degree in Computer Information Science, Information Management, or Statistics - Proficiency in interpersonal communication, both written and verbal - Collaboration skills for effective teamwork - Strong organizational acumen and analytical mindset Nice to have - Knowledge of Guidewire Policy Center and Guidewire Claims Center - Familiarity with SAP Financial Services Collections and Disbursements and SAP Financial Accounting General Ledger applications We offer - International projects with top brands - Work with global teams of highly skilled, diverse peers - Healthcare benefits - Employee financial programs - Paid time off and sick leave - Upskilling, reskilling and certification courses - Unlimited access to the LinkedIn Learning library and 22,000+ courses - Global career opportunities - Volunteer and community involvement opportunities - EPAM Employee Groups - Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn Seniority level - Seniority level Associate Employment type - Employment type Full-time Job function - Job function Information Technology, Engineering, and Business Development - Industries Software Development, IT Services and IT Consulting, and Insurance Referrals increase your chances of interviewing at EPAM Systems by 2x Sign in to set job alerts for “Enterprise Data Architect” roles. Bogota, D.C., Capital District, Colombia 4 weeks ago Bogota, D.C., Capital District, Colombia 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr