Key Responsibilities:Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptionsLead the creation of data models and ontologies to standardize data definitions, relations...
Cleans and maintains the University's data models by developing a strategy for removing and deleting old data; and introducing new data. DATA, SECURITY, & ARCHITECTURE. This position develops strategies for business intelligence, reporting and data warehouse/data marts. Act as principal data archite...
Key Responsibilities:Define and Implement data architecture standards, frameworks and guidelines to ensure data platform efficiency and to ensure high quality data for gaining insights / downstream consumptionsLead the creation of data models and ontologies to standardize data definitions, relations...
The safety data architect is responsible for establishing, documenting, and aligning the life-cycle safety data collection strategy for one or more assigned products in development globally. This position reports Safety Data Architect, Director, in the Decision Sciences in the Pharmacovigilance and ...
Data Architect, Data Modeler with a data warehouse (PLSQL/MSSQL database experience is key, DBA experience not required). Subject matter expert in at least three (3) technical areas: Azure Synapse, Data Factory, Data/Delta Lake, Data Engineer, Microsoft Fabric, Data pipelines is a plus. Design highl...
Senior Scientist I / Senior Data Architect I orSenior Scientist II / Senior Data Architect II. Stay up-to-date with emerging technologies and industry trends in bioinformatics and data architecture to drive innovation and improve data management processes. Collaborate with data scientists and analys...
Deep expertise of working in Azure Data Ecosystem (Azure Data Lake, Data Factory, Synapse, MS Fabric, Azure DataBricks, Power BI). Proven experience of driving transformation from legacy data and analytics systems to Cloud based modern data architectures. Experience of contributing to architecture p...
Work under the direction of the Manager of Data Analytics to assure corporate architecture principles are successfully met and implemented. Participant on team responsible for corporate Big Data platform and Data Engineering solution. Contribute to protecting data assets by assuring corporate data p...
Design architecture to enforce data governance policies, including data quality, data lineage, and metadata management. Create detailed architectural specifications to document the architecture decisions; communicate the architectural specifications to designers, developers, contractors, and busines...
Big Data Architect with Azure implementation experience. Sound knowledge of RDBMS data modeling, SQL Data Warehouse, BI, and ETL tools. Lead a small team (onsite/offshore) for executing data provisioning – includes mainframe sources, RDBMS, flat files, etc. Hands-on knowledge of Big Data technologie...
Communicates and maintains master data, metadata, data management repositories, logical data models, data standards. Collaborates with other Architects and Data Engineers to help adopt best-practices in data system creation, data integrity, test design, analysis, validation, and documentation. Creat...
This role is responsible for the data architecture of a new enterprise application. Candidates must have excellent experience with logical design, migration and the integration of data. Subject Matter Expert knowledge on program/product, fuel and maintenance data. ...
Responsible for ensuring that the data management and governance frameworks are in place and adhered to Responsible for Architecting Data engineering pipelines including data acquisition, Ingestion, management, processing, publishing by leveraging various AWS services. Responsible for developing and...
The team charter includes supporting Data Science and Insight Strategy & Execution teams across the entire data journey from Descriptive to Predictive with key responsibilities for data transformation, creation of consumption-ready data products to be used for visualization across the Commercial bus...
Senior Data Architect (Principal Enterprise Architect) - Remote R0038318. Provide expertise in deploying an organization's data architecture. Principal Enterprise Architect) to collaborate with different divisions and create a coalition/task force to reverse engineer products and look for inefficien...
The safety data architect is responsible for establishing, documenting, and aligning the life-cycle safety data collection strategy for one or more assigned products in development globally. This position reports Safety Data Architect, Director, in the Decision Sciences in the Pharmacovigilance and ...
As a Senior Data Architect on the Data team, you’ll establish consistent data standards, reference architectures, patterns, and practices across the organization for both OLTP and OLAP (Data warehouse, Data Lake house) MDM and AI/ML technologies. Additionally, you’ll create strategies and design sol...
Data analysts are interpreters of data - gather data, manipulate it, identify useful information from it, and transform their findings into digestible insights using visualization tools. Drive data quality by validating data & metrics calculations, surfacing quality issues, documenting, and remediat...
The team charter includes supporting Data Science and Insight Strategy & Execution teams across the entire data journey from Descriptive to Predictive with key responsibilities for data transformation, creation of consumption-ready data products to be used for visualization across the Commercial bus...
Salesforce Data Architect will partner with other team members on the creation of best-practices approach to capture data from disparate applications into an Azure Data Lake for cleaning, curation and mapping into various application destinations meeting Gallagher approved standards. Salesforce Data...
Ability to collaborate and excel in complex, cross-functional teams involving data scientists, business analysts, and stakeholders ● Familiarity with latest trends in data engineering and data management (APIs, data virtualization, stream data integration, augmented data integration). Objectives: Un...