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: <<Career OverviewExperienced Data Analyst with extensive
skill in Data Modelling, Analysis, and Reporting using SSMS, SSRS, Crystal

Reports,
and CRM applications. Detail-oriented professional with proficient technical
documentation, and project management skills.
Work ExperienceData Operations Analyst,10/2015to08/2016Addepar–New York,NY,Contributed to the Development and Maintenance of data quality standards on Millennium a CRM application.Designed Excel Applications for automated processes using Excel Macro and Visual Basic Editor to analyze, evaluate processes, and improve divisional efficiency.Provided technical documentation for organizational reports and project designs.Delivered self-service reports through SSRS.Designed forms and edited reports using Crystal Reports.Generated the Fiscal Year Reports for the Annual Funds division by sorting, using aggregate functions, Pivot table and VLOOKUP formula in Excel.Data Analyst (Contract),2015to04/2015Saic–Cape Canaveral,FL,Committed to multiple projects and tasks during Scrum meetings, and decreased 40% of team's workload.Designed business rules for incoming vendor's files to designated folders.Analyzed, and validated Data using SSMS. Designed projects, Test Cases, tracked and conducted UAT.Produced internal and regulatory reports on regular or adhoc basis on SharePoint.Technical Support,2013to10/2014Lockheed Martin Corporation–Vandenberg Air Force Base,CA,Report, track and fix defects on existing PC and Internet connections.Recommending the right Operating System, Hard Drives and Disk for compatible assembly and installation.Provide technical assistance with several computer assembly.Managed and assembled the Internet connections through the gateway router to multiple PC both wireless and cabled connection.Data Analyst,2009to03/2013MYA-Sales–City,STATE,Forecast future of business sales by querying and analyzing data for the past and present business activities. Reported analytical information for business intelligence that highly impact business decisions.Analyzed daily transactions, using financial functions, Pivot Table, Charts, and VLOOKUP with Microsoft Excel.Designed
relational database for enforcing data integrity, and tracking inventory with Microsoft Access.Managed storage for user and systems databases, including database files.
Education and TrainingBBA:Management Information System,Expected in2014toUniversity of Central Oklahoma-Edmond,OKGPA:Certification:Business Analyst,Expected in2015toQ Tech Solutions-,New JerseyGPA:
Additional SkillsProficient Technical Documentation skillsAdapts fast to Business RulesAbility to read and Design Charts and Diagrams (UML, DFD, ERD)Great Team Player and also ability to work independently>>. The result is, No Fit

Fit assessment: No Fit