Data Architect or Modeler - Remote at Optum #vacancy #remote

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum is currently seeking a hands-on Senior Health Data Architect to support our AL EDW within the Enterprise Datawarehouse and Analytics group. The Data Architect will work with large healthcare datasets and will translate client’s business requirements into enterprise systems, applications, or process designs for large complex health data solutions. The role will drive and support initiatives for the AL EDW as well as participate in the wider EDW group’s areas of data usage and governance, information management, privacy and security, SOA, data analytics and visualization and information modeling. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Develop and deliver long-term strategic goals for data architecture vision and standards in conjunction with data users, clients, and other key stakeholders Lead data architecture, data modeling, and data movement initiatives to enhance the architecture of data warehouse which supports analytics for Medicaid and Medicare and Commercial healthcare data; including domains such as claims, provider, TPL, and member information subject areas Create end-to-end vision on how logical design translates into one or more physical databases, and how the data will flow through the successive stages Analyzing and translating business needs into long-term solution data models Evaluating existing data systems. Working with the development team to create conceptual data models and data flows Create strategies and plans for data capacity planning, data security, life cycle data management, scalability, business continuity, and archiving Ensure that data strategies and architectures are in regulatory compliance. Recognize and identify potential areas where existing policies and procedures require change, or where new ones are needed Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality Create and maintain data model and metadata policies and procedures for functional design Provide technical recommendations and engage with other ETL Architects, Business SMEs and other stakeholders throughout the Solution/Data Architecture and implementation lifecycle and recommend effective solutions to develop high performance and highly scalable data solutions (data marts/warehouse, data mining, and advanced analytics) Address data-related problems regarding systems integration, compatibility, and multiple-platform integration Develop and implement key components as needed to create testing criteria to guarantee the fidelity and performance of data architecture Document data architecture and enterprise environment to maintain a current and accurate view of the larger data picture, an environment that supports a single version of the truth and is scalable to support future analytical needs Communicate with customer, project team in a timely manner and escalates issues & risks appropriately You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 10+ years of IT experience 2+ years of experience as team lead or manager Hands-on experience with ETL tools (e.g., Informatica, Azure Data Factory) Hands-on experience with BI tools and reporting software Experience with scripting language used for analytics such as Python or R Solid knowledge of regulatory security requirements regarding HIPPA, PHI, PII, and other health care data security standards Solid Healthcare domain knowledge of Medicaid, Medicare, and Commercial healthcare data sets Expertise in Data Architecture, Data Strategy and Roadmap for large and complex health entity and systems and implemented large scale end-to-end Data Management & Analytics solutions for more than one large client Expertise with normalized OLTP, OLAP, MDM and Dimensional modeling techniques, Star schemas, slowly changing dimensions, role-playing dimensions, dimensional hierarchies, and data classification Expertise in Data Quality, Data Profiling, Data Governance, Data Security, Metadata Management, MDM, Data Archival and Data Migration strategies using appropriate tools Expert level SQL skills with direct experience writing complex analytic queries, stored procedures, DDL, DML and DCL. Thorough knowledge of query optimization techniques with the ability to write code to ANSI standards and inspect code written by other developers Demonstrated solid problem solving, influencing, communication, and presentation skills, self-starter Demonstrated ability to work in a fast paced and changing environment with short deadlines, interruptions, and multiple tasks/projects occurring simultaneously Demonstrated ability to work independently and have skills in planning, strategy, estimation, and scheduling Preferred Qualifications: 2+ years of experience with PowerBI Experience with Microsoft Azure cloud infrastructure and services (Azure Data Lake Storage, Azure Data Factory, Purview, Azure Maps, etc.) Experience with Snowflake DBMS Experience with Erwin data modeler *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy California, Colorado, Connecticut, Hawaii, Nevada, New Jersey, New York, Rhode Island, or Washington Residents Only: The salary range for this role is $104,700 to $190,400 annually. Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. UnitedHealth Group complies with all minimum wage laws as applicable. In addition to your salary, UnitedHealth Group offers benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with UnitedHealth Group, you’ll find a far-reaching choice of benefits and incentives. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission. Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

MDM Business Intelligence (BI) Azure Data Factory OLAP Python OLTP Azure dcl R Data Architect erwin SQL ETL dml Data Modeler Power BI

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