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: <<SummaryPractical Database Engineer possessing in-depth knowledge of data manipulation techniques and computer programming paired with expertise in integrating and implementing new software packages and new products into system. Offering 12-year background managing various aspects of development, design and delivery of database solutions. Tech-savvy and independent professional bringing outstanding communication and organizational abilities. Hardworking and reliable Data Engineer with strong ability in building Data pipelines. Highly organized, proactive and punctual with team-oriented mentality.
SkillsRequirements GatheringAnalysis and ModelingData WarehousingSQL ReportingBusiness IntelligenceData ManagementMicrosoft SQLDatabase AnalysisSQL TuningCritical Thinking
ExperienceSenior Data Engineer,12/2017-CurrentSplunk–Dallas,GA,Adept in troubleshooting and identifying current issues and providing effective solutions.Managed performance monitoring and tuning while identifying and repairing issues within database realm.Worked as part of project teams to coordinate database development and determine project scopes and limitations.Trained non-technical users and answered technical support questions.Collected, outlined and refined requirements, led design processes and oversaw project progress.Created conceptual, logical and physical data models for use in different business areas.Wrote and coded logical and physical database descriptions, specifying identifiers of database to management systems.Applied Conceptual, Logical and Physical & Dimensional/Relational model designs to ETL tasks.Managed end-to-end operations of ETL data pipelines, maintaining uptime of 95%.Assisted in User Acceptance Testing for accounting/marketing users, verifying ETL jobs complied with assigned parameters, achieving desired results.Worked successfully with diverse group of coworkers to accomplish goals and address issues related to our products and services.Worked closely with team members to deliver project requirements, develop solutions and meet deadlines.Senior Database Consultant,02/2013-12/2017Amazon.Com, Inc.–Lewisville,TX,Created Informatica mappings/ETL’s usingInformatica Power Centerto load the data from Oracle, MySQL databases to SQL Server 2016 databases hosted on AWS cloud.Performed the data manipulations using variousInformaticaTransformations like Expression, Lookup, Update Strategy, Router and SQL transformation.DesignedInformaticaworkflows with many sessions with Event with task, Event raise task and Email task. Scheduled the created workflows/jobs usingInformatica Scheduler.Created multipleT-SQLobjects mainly Stored procedures and Functions for new and existing software application requirements.Created multiple Linked Servers for ease of the users to execute commands on remote servers.Developed new code and fine-tuned existing Stored procedures to improve performance while utilizing the SQL Server Profiler and Database engine tuning wizard.Created SSIS packages to migrate data from legacy systems such as Oracle, MySQL, HP Vertica, SQL Server, flat files to centralized IT destination. Created SSIS packages utilizing different SSIS transformations likeScript component, Merge Join, Look Upand implemented error handling and logging.Performed unit testing and QA testing at various levels of the ETL’s and actively involved in team code reviews.Developed Report Models using report builder and distributed reports in multiple formats using SQL Server Reporting Services (SSRS) in Business intelligence development studio (BIDS) and SQL Server Data Tools(SSDT). CreatedParameterized, Cascaded, Drill-down, Cross-tab and Drill-through Reportsusing SSRS 2008 R2/2012.Created Ad hoc Queries in T-SQL, Stored Procedures and Views to store the data of third parties, and use them in SSRS reports to generate reports on the fly. Worked with multivalued parameters for parameterized reports in SSRS.Developed VBA scripts for periodic Financial (Daily, Weekly) reports generated directly from Excel utilizing Power Pivot options in Excel.Managed report delivery based onTime driven and Data driven subscriptionsandreport securityfor providing SSRS reportserver level, folder level and item levelpermissions to various users across the organization based on role based access control(RBAC).Worked on resolving any performance issues with SSIS packages and SSRS reports and fine tune them for better performance.Worked on cleaning up users on SQL server and audit the access level. Revoke Inappropriate access, setting up AD groups and grant access based on the created groups.Worked on databaseperformanceandmaintenancedutiessuch astuning,backup,restoration.Provide On-Call support for Production job failures. Resolve and close the time critical Incidents in an appropriate way. Perform root cause analysis, create Problem report and work on any subsequent code changes to stop them from re-occurring.Database Consultant,08/2011-02/2013Amazon.Com, Inc.–Lithia Springs,GA,Involved in gathering business requirements, definition and design of the data sourcing and data flows, data quality analysis, working in conjunction with the data warehouse architect on the development of logical data models.UsingT-SQLcreated complexStored Procedures, Functions, Cursors, Tables, and Viewsand used other SQL joins and statements for applications in SQL Server 2005/2008.Developed standaloneSSISpackages to extract data from different sources likeSQL Server, Flat Files, Excel, Oracle, and Sybasetransform and load the data onto required databases.UsingSSIStransformations filtered bad data from different sources usingDerived Column, Lookup, Fuzzy lookup and Conditional split.Involved in creation of Technical Specs, Design Documents, Implementation Documents, and Unit testing/Test case /test plan documents and maintained Issue logs.Using Script Component inSSISwroteC#.NETcode to generate dynamic file names and create a text files. Debugged and verified the values getting stored invariablesin run-time usingC#code.Created dynamicSSISpackages through Variables and Script task components (C # and VB.NET) and scheduled the packages using SQL Server Agent to process and load the data.Scheduled the package based on the Enterprise Calendar through SQL Server Agent. Created several one-time and recurring jobs for package scheduling.Created XML file for package configurations and implemented parent-child package configuration inSSISpackages. Implemented error and event handling: precedence Constraints, Break Points, data grid and Logging inSSISpackages.UsingSSRSdeveloped multiple types of reports including Sub Reports, Parameterized and Drill Down Reports using global variables, expressions and functions based on the requirements provided.DeployedSSRS.rdl reports on to the report server and created time driven subscriptions on the deployed reports.Created cubes with multiple fact measures groups, and multiple dimension hierarchies based on the reporting needs usingSSAS.Modified existing dimensions and created new dimensions as per new business requirements.Created GUI interfaces using C#.NET and .NET Framework to simplify the database access to end business users. Enhanced existing GUI interfaces based on new requirements and improved efficiency.Resolved and closed production incident tickets generated because of failure of Daily Jobs.
Education and TrainingMaster of Science:Electrical Engineering,Expected in01/2011-California State University - Sacramento-Sacramento,CAGPA:Status->>. The result is, No Fit

Fit assessment: No Fit