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: <<SummaryInvolving in various projects related to Data Modeling, Data Analysis, Design and Development for Data warehousing environments. Practical understanding of the Data modeling (Dimensional & Relational) concepts like Star-Schema Modeling, Snowflake Schema Modeling, Fact and Dimension tables. Comprehensive knowledge and experience in process improvement, normalization/de-normalization, data extraction, data cleansing, data manipulation. Exceptional troubleshooting skills with ETL Technologies.
HighlightsHadoop, Hive, Avro, Kafka, MapReduce, Looker
Programming Languages: SQL, Java, Scala, PHP, Shell Script, HTML
Database Tools: Aster Database, PostgreSQL, MySQL
Operating Systems: Linux, Unix, Microsoft Windows
Experience08/2012toCurrentData EngineerAvanade|Greenville,NC,Experience with full development cycle of a Data Warehouse, including requirements gathering, design, implementation, and maintenance.Data modeling based on Kimball methodology, developed and architected ETL processes for different projects (RMA, inventory, purchase order etc.) Re-engineer some of the current ETL processes to streamline the data acquisition and integration process using our homegrown ETL tools.Built event-driven data pipeline that comprises multiple steps to gather high volume and velocity data from both push based and pull based sources, which includes design and implement web service to collect data (JSON object over http request), convert data in JSON format into Avro then feed into Kafka, land data in Kafka on Hadoop and Aster.Designed and built Looker API using Scala, which makes other teams access the data in data warehouse more easily and gracefully.Establish and maintain SQL queries and routines.Write ad-hoc queries based upon the schema understanding for diverse needs of our business users.02/2012to03/2012Java InternDominion Enterprises|Fredericksburg,VA,Implemented code for small features & bug-fixes in Java.06/2011to09/2011PHP DeveloperMeetoncruise|City,STATE,Implemented the back-end logic using PHP.Utilized JQuery and AJAX to provide dynamic and interactive user interface.Designed and implemented data model in MySQL database to support the website.
EducationExpected in2012totoMaster of Science|Electrical and Computer EngineeringPolytechnic Institute of New York University,Brooklyn,NYGPA:Electrical and Computer EngineeringExpected in2010totoBachelor of Science|Automation EngineeringNanjing University of Aeronautics and Astronautics,Nanjing,JiangsuGPA:Automation Engineering
Skillsstreamline, ad, AJAX, API, data acquisition, Data modeling, data warehouse, Database, engineer, ETL, features, HTML, http, PHP, inventory, Java, JQuery, JSON, Linux, logic, access, Microsoft Windows, MySQL, Operating Systems, PostgreSQL, processes, Programming, requirements gathering, Shell Script, SQL, Unix, user interface, website>>. The result is, No Fit

Fit assessment: No Fit