Lead Business Intelligence Engineer

The Business Intelligence Architect works with the business and technology groups to design, blueprint, and supervise the development of enterprise data solutions enabling robust analytic products. The architect is responsible for delivering easily understandable, accessible, well-governed and secured data aligned to our Data Strategy. Sponsorship, in any form, is not available for this position.Role qualifications:• 10 or more years of experience in business intelligence and data solution design• Strong domain expertise in healthcare business, administrative and clinical data• Working knowledge of cloud-based data technologies and relational databases, including Oracle, MySQL and specifically AWS products Redshift, S3, EMR, Glue, QuickSight, and Aurora • 5 or more years of experience developing data products with enterprise business intelligence tools (Tableau, QuickSight, PowerBI, Cognos)• 5 or more years of experience with data engineering technologies, including but not limited to Spark, Scala, SQL• Analytical skills with hands-on experience in identifying, quantifying, and effectively raising risks associated with data quality, compliance, retention, and security• Strong communication and collaboration skills with capability to execute with business and technology stakeholders.• Bachelor’s degree in Computer Science, Information Systems, or Information Management.• Master’s degree preferred but not requiredKey Skills:• Expertise in enterprise data architecture design supporting data products• Experience in data management principles such as data governance, data security, data quality• Hands-on experience with data modeling for data lakes and data warehouses, to support large-scale structured, semi-structured and unstructured data• Hands-on experience developing scalable data engineering pipelines• Familiar with healthcare data standards• Develop data strategies in collaboration with business and technology stakeholders of varying levelsWhat you will be doing:• Lead the collaboration with Product Owners and development teams to understand business and analytic requirements, translate them into meaningful data pipeline design requirements and analytic products• Architect and deliver data solutions to support complex business intelligence and machine learning solutions• Design data models – document and collaborate to create conceptual and logical models• Architect and guide ETL engineers to optimize and maintain data models, and enable end-to-end data-driven integration• Maintain BI systems, design, develop, and implement various enterprise dashboard and reporting solutions• Direct and contribute to data pipeline development effort• Partner with Enterprise Architecture team to develop and implement future state data architecture standards, guidelines, and principles for the enterprise• Assist in implementation and maintenance of enterprise data stewardship, governance, and cataloging of company data and meta data• Collaborate with the data science and development teams to enable technologies and processes to maintain and improve data quality standardsPay and BenefitsThe pay range for this position is $150000.00 - $175000.00401k and PTO and health insurance are provided by this healthcare company, they are very competitiveWorkplace TypeThis is a fully remote position.Application DeadlineThis position will be accepting applications until Dec 12, 2024.About TEKsystems:We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.