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: <<QUALIFICATIONS•   Over two years' experience of data analysis
at Loyola Chicago University; providing statistical analysis plan and
generating report, tables, graphs;
proficient in R and SAS.•   Proficient in Microsoft Office, Word, Excel
and Power Point.•   Ability to effectively organize and manage
multiple assignments with hard deadlines.•   Great team player and extensive experience
and skills in collaboration and communication.
PROFESSIONAL EXPERIENCE09/2016toCurrentData Analyst InternEnvestnet|Secaucus,NJ,•    Merge spreadsheets from different sources to create a more compact and centralized data platform for easy updating and data analysis using MS Excel advanced functions and formulas.•    Data cleaning and data validation of existing spreadsheets to promote a robust data management platform for accurate data entry and data analysis.•    Train employees on the use of pivot tables and tips and tricks in MS Excel for efficient data entry and analysis.07/2013to04/2014Research AssistantSuny Upstate Medical University|Syracuse,NY,Supervisor: Drs. Michael Crum and David Rayome

Paper: Self-employment and subjective well-being: A multi-country
analysis using the world values survey.
International Journal of Entrepreneurship (Published in 2014)•    Statistical analysis of
elements influencing self-employment and life happiness using R studio•    Literature research on topics of
self-employment and satisfaction04/2012to07/2012Accounting InternshipAmica Mutual Insurance|Park Ridge,,•    Provide data management for
Accounting Journals using government-secured software•    Prepare written report of Asset inspection
and sorted the documents04/2011to07/2011Finance InternshipSiemens Corporation|Wichita,,•    Sales consultant for financial products and
services
EDUCATIONExpected in2016totoMaster of Science|Applied StatisticsLoyola Chicago University,Chicago,ILGPA:Expected in2013totoBachelor of Science|Finance and risk managementNorthern Michigan University,Marquette,MIGPA:
SKILLSComputer Software: MS Word,
PowerPoint, Excel, Access
StatisticalSoftware: R Studio, SAS, Minitab,
SQLLanguage: Mandarin and
English>>. The result is, No Fit

Fit assessment: No Fit