Data Architect
Role details
Job location
Tech stack
Job description
Every day, these are the things that the person in this role will do successfully:
- Work with product stakeholders and technical SMEs to understand the relation between business objectives, workflow and enterprise data
- Create and present technical proposals to a client Architecture Control Board
- Data sourcing and mapping with a focus on data quality, security, integrity
- Explore and analyze enterprise data sets
- Evaluate changes and updates to source production systems, assess risks
- Provide technical expertise to troubleshoot data-related issues, translating technical challenges into business context
- Communicate data needs and issues to the project team and product stakeholders
Top Skills
Aws Athena Aws Glue Aws Lambdas Aws S3 JSON Microsoft Sql Server MySQL Python Rds Aurora SQL, As a Data Solutions Architect, you will collaborate with clients to define business requirements, showcase AcuityMD's data solutions, and drive commercial effectiveness in MedTech sales through data expertise and presentations., Architect and lead large-scale cloud data platforms and AI/ML frameworks to ingest and process security telemetry. Build production ML and Generative AI solutions (LLMs, agents) to automate SOC workflows, improve threat detection, and reduce analyst workload while guiding cross-team integrations and MLOps practices. Top Skills: Ai AgentsAWSAzureCi/CdContainerizationGenerative AiInfrastructure-As-CodeLarge Language Models (Llms)MlopsPythonPyTorchScikit-LearnStreaming TechnologiesTensorFlow Taylor Corporation
Data Architect
2 Days Ago In-Office or Remote Mid level Mid level Information Technology The Data Architect will design and build a unified reporting and analytics foundation for Taylor Corporation, transforming disparate data sources into a cohesive model to support decision-making. Responsibilities include collaborating across teams, leading data modeling efforts, and ensuring effective reporting practices across the division. Top Skills: Data ModelingData WarehousingMicrosoft FabricPower BI
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With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
Requirements
Must Have Technical Skills
- 7+ years progressively complicated database experience
- Experience with writing SQL, Python, performing data analysis
- Experience working with relational databases like Microsoft SQL Server, MySql, and RDS Aurora
- Experience with data modeling, creating tables, indexes, views, and have a solid understanding of how relational databases work
- Experience loading data from source files into relational databases
- Experience migrating database changes between environments
Required Analysis Skills
- Experience working with business users, project stakeholders, and technical system experts to map data requirements back to the application source systems
- Experience creating data requirements derived from screen designs, user stories, and desired scope requests, and mapping the data needs to application source systems
- Ability to analyze and interpret data from reports, source systems, and data source files
- Experience managing and creating data mapping documentation between systems
- Ability to work with the project team, product owners to prioritize business and data needs
Bonus Technical Skills
- Familiar with AWS Glue, and/or other cloud based ETL tools
- Experience with JSON files and formats
- Experience using API testing tools like Postman
- Experience querying SalesForce using Workbench
- Experience with AWS services such as S3, Lambdas, and Athena
- Experience with Python
