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: <<SummaryAccomplished data analyst with over 14 years of SIGINT intelligence analysis and consultation within the Intelligence Community. Specializations are wide ranging and involve Program Management, Product Owner, Digital Network Intelligence (DNI); mobile forensics and analysis; Internet-of-Things (IoT); SIGINT Geo-Spatial Analysis (SGA); data mining; and analytic creation and automation.
SkillsProgram/Product ManagementClient ConsultingBig DataData AnalyticsData MiningExcellent Written and Verbal SkillsNetwork AnalysisPythonTeam LeadershipAnalytical ThinkingJiraJupyter NotebooksTrello
Education and TrainingUniversity of Maryland Global CampusCollege Park, MD,Expected in01/2023––Bachelor of Science:Political Science-GPA:Program Management InstitutePMI,Expected in01/2022––Disciplined Agile Scrum Master (DASM):Agile-GPA:Booz Allen HamiltonAnnapolis Junction, MD,Expected in01/2021––Python Bootcamp:-GPA:Warrior SchoolArizona,Expected in02/2008––:Defensive Combat Training-GPA:United States Air Force (CCAF)San Angelo, TX,Expected in06/2007––:Network Intelligence Analyst-GPA:Western Wisconsin Technical CollegeLa Crosse, WI,Expected in01/2005––Associate of Science:Criminal Justice-GPA:Program Management InstituteOnline (Learning Tree),Expected in––:Program Management Professional-GPA:
ExperienceData Farmer LLC-Data Product Manager |City,STATE,05/2022-07/2022Worked Hewlett Packard's (HP) product and services data ecosystem leveraging existing capabilities and defining new requirements for future customer experiencesBalanced the strategy, governance, and implementation of data migration and facilitated the conversations between all impacted stakeholders - executives, engineers, analysts, product teams, and external customers.Translated requirements of large data initiatives into smaller, agile based stories delivered in increments and then worked to allocate resources for each initiative.Defined roadmaps for data requirements and for new feature development that incorporates the needs of customers and the business.Booz Allen Hamilton, BAH-Senior Lead Technologist |City,STATE,10/2010-01/2022Provides operational leadership and management of over 70 matrixed staff directly integrated into the client environment, providing subject matter expertise in network analysis, data science, and computer network operationsOversaw the technical health of matrixed staff by providing quality control to staff deliverables to the client, staffing open requirements, evaluating advantageous business development opportunities, and providing routine updates to key stakeholdersIntroduced and oversaw the production of new scalable corporatized tools, analytics, and dashboards to enable automation, data mining, and advance analysis against mobility and IoT technologiesPrioritized client needs to effectively conduct team activities designed to build new analytic capabilities; established deadlines for production; coordinated with numerous corporate partners on projects; developed and tested new capabilities; and delivered newly developed capabilities back to the clientProvided big picture approaches and innovative measures to capture large aggregated corporate data sets to evaluate for both relative data and anomalous node analysisAutomated analyst workflows by extracting and manipulating data in Jupyter notebooks to reduce repetitive work and find new value in existing data.Lead an effort to build a corporate keyword triage analytic, making data easier to be searched and minedMined large data repositories using corporate tools and dashboards to provide analysis for DNI, DNR, SGA, IOT, 5G and other NextGen related effortsEvaluates mobile technologies and next generation (NextGen) environments for exploitable applications and protocols related to foreign entitiesSupported multiple organizations within the Intelligence Community, including (but not limited to): Counter Terrorism, Meade Operations Center, Enterprise Discovery Operations, and East Asia and PacificCollaborated and coordinated with multi-national organizations by providing timely and accurate intelligence to enhance coalition operations and strengthen partner relationshipsUnited States Air Force, USAF-Network Intelligence Analyst |City,STATE,10/2006-09/2010Provided time sensitive SIGINT to operational forces in support of Operation Enduring FreedomDeployed to Afghanistan as senior analyst in support of the Global War on Terror and Operation Enduring FreedomExploited 2.5G and 3G technologies to enable foreign intelligence in support of Counter Terrorism effortsUtilized commercial products, such as, ESRI, Palantir and Analyst Notebook to enhance operational successCollaborated and coordinated with multi-national organizations by providing timely and accurate intelligence to enhance coalition operations and strengthen partner relationships>>. The result is, No Fit

Fit assessment: No Fit