For the given job description <<The Senior Manager, Data Architecture & Data Engineering is responsible for translating business strategic goals into future-state data engineering and data science solutions. This includes delivery full life-cycle from execution roadmaps, to implementation, and to production operations. This role drives the creation and maintenance of enterprise data and analytics capabilities, data reference architectures, and integrated data & analytics technology roadmaps that will guide our strategic investments and enterprise strategy.Translate business strategic goals into actionable future-state data engineering and data science architectures and solutions.Delivery of full life-cycle Data Solutions from execution roadmaps, to implementation, and to operations. This includes a specific focus on ELT and ETL Data Pipeline solutions from inception to production.Lead end to end solution delivery of enterprise data warehouse, data marts, and data lake with governance.Drive the creation and maintenance of enterprise data and analytics capabilities, data solutions, and integrated data & analytics technology roadmaps that will guide our strategic investments and enterprise strategy.Deliver architecture connecting Data Science, Data Engineering, and Data Analytics practices together to deliver impactful data products.Strong partnership with DevOps, DataOps, business partners, engineering teams, and data management.A minimum of ten (10) years of experience in IT with a minimum (6) years in data architecture and data solutions are required.Successful track-record in managing a team of Data Engineers and Data ScientistsSkilled in hybrid cloud data platforms and analytical technologies including Azure andor GCP data infrastructure, Spark, Data Lake, Data Warehouse and Data Marts, BI reporting with PowerBI, Metadata Management, Data Governance, Master Data Management, Data Catalog, and Business Glossary.Ability to document, communicate, implement, and operationalize complex architectures.Experience with ELT and ETL Data Pipeline solutions from inception to production.Proficient in SQL, NoSQL and columnar databases.Experience with SparkPyspark and JSON.Excellent grasp of Computer Science fundamentals - data structures and algorithms.Must have Panda Data Frames knowledge and best practices, execution engines, DAGs (airflow, dagster, luigi, etc), and Kubernetes.Proficient with GitLabFamiliarity with Azure data factory preferred, Google data flow or AWS GlueExperience with Biomedical Informatics, S3Azure blob store, Machine Learning and AI, Unstructured Data, and Data Democratization is preferred.Experience with Agile methodologies, Kanban preferred, and using tools like Jira and Confluence to facilitate the work.Bachelor's degree in computer science or a related discipline required. Master's degree preferred. RECRUITERS NOTES: The role will definitely be hands-on and will require excellent communication skills. The hiring manager mentioned the following technologies: AImachine learning; data warehouses; product support; Cloud experienceAzure; must be open to new technologies. Working with the Product Development Team. Act as the point of contact; will create a group that helps the product teams. Create data warehouses for analytics. MUST have excellent communication skills  verbal and written. This person will envision strategy and must be able to effectively communicate that strategy to others.  The organization has asked me not to advertise the compensation. If you contact me I would be more than willing to share it with you. 
For over 50 years this non-profit organization has made it their mission to protect patients from unsafe and ineffective medical technologies and practices. More than 5,000 healthcare institutions and systems worldwide including four out of every five U.S. hospitals rely on the services of this organization to guide their operational and strategic decisions. In addition, they serve public and private payers, federal and state agencies, policymakers, ministries of health, associations, and accrediting agencies. Benefit from a healthy work-life balance while staying on the leading edge of technology and thriving in an innovative startup-like culture minus the risk. Sleep well knowing you are helping achieve a world where safe, high-quality healthcare is accessible to everyone. Excellent benefits to include work from home, flex-time and 19 days starting vacation.
Its a nice place to work!>> the resume: <<SummaryAn
accomplished professional with 8+ years (which includes 3 years as application
developer) of experience in business systems/data analytics, with in-depth
knowledge of business operations, analytics tools and data transformations.
Excellent problem solving skills with ability to think laterally for practical
solutions.
Areas of ExpertiseAGILE (Scrum) implementationsDesign, Gap & Risk AnalysisRegression AnalysisUser story & Use Case AnalysisTest Cases DesignQA Test automationSDLC implementationsData/Functional AnalysisData WarehousingObject Oriented ProgrammingData Mapping & AggregationBI Reporting and Analytics
SkillsProgramming Languages:SQL, PL-SQL, XML, C++, Java/J2EE, UML 2.0, VBA – Excel, SAS programmingTools/Technologies:ERWin, MS-Visio, SQL Developer 1.5.1, Toad, Teradata Client, Excel (Analytics),HP’s ALM,JIRA, SharePoint, JavaScript, JSP, Servlets, IBM’s RAD, EclipseDBMS:Oracle 10g, PostGreSQL, MySQL, MS-SQL, SQL Server, Teradata, Cassandra (No-SQL)BI& Reporting:Ab Initio, MicroStrategy, Informatica Analyst, Tableau Reporting 7.0, Cognos Reporting,SQL Server BI Integration (SSIS, SSRS), Big Data (HDFS)Business Domains:Retail Banking & Finance, Healthcare, e-Governance,Retail/e-commerce, Insurance
ExperienceSr. Data/Business Systems Analyst,05/2014-CurrentKoch Industries, Inc.–Malaga,NM,Improved development efforts by translating complex requirements to practical ETL implementations.Created easy-to-implement ETL code snippets for Ab-Initio that improved performance by over 20%.Reduced data-element-mapping (DEM) validation time by designing VBA-Excel based validation tools.Reduced UAT defects by 40% by creating SQL query components for advanced data analytics.Improved takeaways from JAD sessions by translating business requirements into actual workflows.Designed robust and extendable dimensional data models for data migration/reporting requirements.Created robust work-flow and data-flow diagrams to enhance takeaways from JAD sessions.Certified Scrum Master; worked to lead the agile transformation from waterfall based methodologies.Business Systems Analyst,11/2013-04/2014Corvel–Boston,MA,Improved complex CR (change request) implementation techniques by making requirements scalable.Expedited development efforts by 40% using segregation of ETL & report level implementations.Improved system design requirements by reverse-engineering SQL server stored procedures.Reduced requirements elicitation period by versioning of RTM (Requirements Traceability Matrix).Implemented V-model based mapping for correlating use cases of design with test case design in UAT.Data/Business Analyst,05/2012-10/2013Insuvi–Belleville,IL,Enhanced existing standalone application for entire SAP Global-IT using VBA-excel macros.Reduced cost of new application by over $100,000 usingTableaudashboards utility components.Optimized application design for a mobile app by developing 43 uses cases including prototypes.Increased accuracy of ERP based utilization forecasting apps by training teams to provide right inputs.Integrated client-side-scripting(CSS) based solutions for Jscript/HTML5 based mobile app development.Sr. Software Developer,01/2011-08/2011Noblis, Inc.–Arlington,VA,INDIACreated dynamic database models that are compatible with PostGreSQL, My-SQL & Oracle.Created scalable database schemas to reduce cost of redesigning based on changing requirements.Mentored team of 25 in database connectivity, query logic generation, SQL-stored procedures.Software Developer,04/2008-01/2011WIPRO Technologies–City,STATE,INDIADesigned and developed reusable Lean technical interfaces/implementations in JAVA/J2EE.Increased efficiency of JAVA/J2EE implementations by over 60% using PL/SQL stored procedures.Enhanced SDLC phases by fine-tuning AGILE methodologies from project level to module level.Excelled as specific-point-of-contact for customer to discuss impact of CRs, effort and cost estimates.
Education and TrainingMBA:Business Information Systems,Expected inApril 2013-University of Cincinnati-Cincinnati,OHGPA:Status-Course work includes: Operations Management, Project Management, Global Economics, Financial Economics, Statistical Decision Modelling, Leadership & Organization, Financial AccountingBachelor of Engineering:Computer Sciences,Expected inAugust 2007-Jawaharlal Nehru Technological University-Hyderabad,TelanganaGPA:Status->>. The result is, No Fit

Fit assessment: No Fit