Role: Sr. Data Architect Location: Richardson, TX - Onsite (Need only Locals) Direct Client Fulltime Role ***Need only USC, GC & EADs on W2*** *** No H1B*** *** No Relocation works*** We are looking for a Sr Enterprise Architect - Data to join the global team based in Richardson, TX. The person must have a passion for solving complex problems and developing digital solutions that combine rich data with advanced technology to deliver insights at the point of interaction. Role requires modern data centric architecture approaches. What You'll Do: <ul><li>Builds a technology vision and data strategy to support all service lines or technical disciplines. Using a holistic approach, conducts enterprise analysis, design, planning, and implementation for the successful development and execution of strategy. </li><li>Documents and communicates the data strategy using multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, and adaptable manner. </li><li>Acts as the primary point of contact (SPOC) between D&T and the business for all things related to data architecture and strategy. Champion and serve as the lead cloud data architect for all data transformation programs </li><li>Extensive experience in Data Architecture work, including executing at least 3 large scale Data platform modernization and/or Data Migration projects from inception to production. </li><li>Several years of enterprise data integration and management experience working with Datawarehouse technologies, Data pipelines, and cloud data platforms </li><li>Work with technical teams, businesses and end-users to successfully design modern applications and Data platforms. Help to choose correct technologies based on business strategy, capabilities and requirements, including application, data, technology and integration architecture. </li><li>Communicate and provide data architecture / business expertise to other associates during system development; ensure systems data architecture is compatible with existing and future enterprise data architecture. </li><li>Partner to develop strategies and roadmaps for AI & machine learning and other advanced analytics areas (e.g., natural language processing, neural networks, computer vision, ML platforms, open-source libraries, event-driven stream processing, data lakes) </li><li>Develop and review execution plans with respective owners of enterprise systems, regarding the evolution from current legacy platforms to modern data centric future-state. Market and build consensus as necessary to execute identified solutions. </li><li>Create and articulate future state data platform vision via all the relevant architecture & design artifacts. Help validate these proposed future state architectures with proofs-of-concepts and/or MVPs. </li><li>Lead the analysis and documentation of the current application and integration landscapes, creating future state architectures and roadmaps. </li><li>Creation and management of architecture artefacts and lower-level components. </li><li>Perform application demonstrations and technical presentations </li><li>Provide technical expertise to design scalable data marts, data lake and data warehouse solutions, including addressing and resolving complex technical issues </li><li>Provide formal technical guidance and informal assistance to engineering teams. </li></ul> What You'll Need: To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. <ul><li>Minimum bachelors degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics) </li><li>Deep knowledge of cloud data platforms (AWS, Azure) </li><li>Technical proficiency, including: </li><li>4+ years of enterprise data strategy development </li><li>8+ years of deep solution architecture with focus on data technologies </li><li>5+ years of AWS/Azure data, Analytics and AI services </li><li>5+ years in data platforms and integration tools such as Snowflake, Snaplogic, Collibra, Informatica etc </li><li>Working knowledge of BI analytics tools like Tableau, PowerBI </li><li>Recent strong experience in AI/ML, Generative AI, Large Language Models (LLMs) </li><li>Experience implementing ETL pipelines using custom and packaged tools </li><li>5 + years of RDBMS experience </li><li>Data modeling, Datawarehouse, data lake and datamart architecture experience </li><li>Have an excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers. </li> </ul>

Role: Sr Enterprise Architect (Data)Locations: Richardson, TX - Hybrid The Digital & Technology team is a forward thinking and innovative team, currently leading a global digital transformation. We are looking for a Sr Enterprise Architect - Data to join the global team based in Richardson, TX.The person must have a passion for solving complex problems and developing digital solutions that combine rich data with advanced technology to deliver insights at the point of interaction. Role requires modern data centric architecture approaches. What You'll Do:· Builds a technology vision and data strategy to support all service lines or technical disciplines. Using a holistic approach, conducts enterprise analysis, design, planning, and implementation for the successful development and execution of strategy.· Documents and communicates the data strategy using multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, and adaptable manner.· Acts as the primary point of contact (SPOC) between D&T and the business for all things related to data architecture and strategy. Champion and serve as the lead cloud data architect for all data transformation programs· Extensive experience in Data Architecture work, including executing at least 3 large scale Data platform modernization and/or Data Migration projects from inception to production.· Several years of enterprise data integration and management experience working with Datawarehouse technologies, Data pipelines, and cloud data platforms· Work with technical teams, businesses and end-users to successfully design modern applications and Data platforms. Help to choose correct technologies based on business strategy, capabilities and requirements, including application, data, technology and integration architecture.· Communicate and provide data architecture / business expertise to other associates during system development; ensure systems’ data architecture is compatible with existing and future enterprise data architecture.· Partner to develop strategies and roadmaps for AI & machine learning and other advanced analytics areas (e.g., natural language processing, neural networks, computer vision, ML platforms, open-source libraries, event-driven stream processing, data lakes)· Develop and review execution plans with respective owners of enterprise systems, regarding the evolution from current legacy platforms to modern data centric future-state. Market and build consensus as necessary to execute identified solutions.· Create and articulate future state data platform vision via all the relevant architecture & design artifacts. Help validate these proposed future state architectures with proofs-of-concepts and/or MVPs.· Lead the analysis and documentation of the current application and integration landscapes, creating future state architectures and roadmaps.· Creation and management of architecture artefacts and lower-level components.· Perform application demonstrations and technical presentations· Provide technical expertise to design scalable data marts, data lake and data warehouse solutions, including addressing and resolving complex technical issues· Provide formal technical guidance and informal assistance to engineering teams.What You'll Need:To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.· Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics)· Deep knowledge of cloud data platforms (AWS, Azure)· Technical proficiency, including:· 4+ years of enterprise data strategy development· 8+ years of deep solution architecture with focus on data technologies· 5+ years of AWS/Azure data, Analytics and AI services· 5+ years in data platforms and integration tools such as Snowflake, Snaplogic, Collibra, Informatica etc· Working knowledge of BI analytics tools like Tableau, PowerBI· Recent strong experience in AI/ML, Generative AI, Large Language Models (LLMs)· Experience implementing ETL pipelines using custom and packaged tools· 5 + years of RDBMS experience· Data modeling, Datawarehouse, data lake and datamart architecture experience· Have an excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers.

The Digital & Technology team is a forward thinking and innovative team, currently leading a global digital transformation. We are looking for a Sr Enterprise Architect - Data to join the global team based in Richardson, TX. The person must have a passion for solving complex problems and developing digital solutions that combine rich data with advanced technology to deliver insights at the point of interaction. Role requires modern data centric architecture approaches. What You'll Do: <ul><li>Builds a technology vision and data strategy to support all service lines or technical disciplines. Using a holistic approach, conducts enterprise analysis, design, planning, and implementation for the successful development and execution of strategy.</li><li>Documents and communicates the data strategy using multiple architectural models or views that show how the current and future needs of the organization will be met in an efficient, sustainable, and adaptable manner.</li><li>Acts as the primary point of contact (SPOC) between D&T and the business for all things related to data architecture and strategy. Champion and serve as the lead cloud data architect for all data transformation programs</li><li>Extensive experience in Data Architecture work, including executing at least 3 large scale Data platform modernization and/or Data Migration projects from inception to production.</li><li>Several years of enterprise data integration and management experience working with Datawarehouse technologies, Data pipelines, and cloud data platforms</li><li>Work with technical teams, businesses and end-users to successfully design modern applications and Data platforms. Help to choose correct technologies based on business strategy, capabilities and requirements, including application, data, technology and integration architecture.</li><li>Communicate and provide data architecture / business expertise to other associates during system development; ensure systems’ data architecture is compatible with existing and future enterprise data architecture.</li><li>Partner to develop strategies and roadmaps for AI & machine learning and other advanced analytics areas (e.g., natural language processing, neural networks, computer vision, ML platforms, open-source libraries, event-driven stream processing, data lakes)</li><li>Develop and review execution plans with respective owners of enterprise systems, regarding the evolution from current legacy platforms to modern data centric future-state. Market and build consensus as necessary to execute identified solutions.</li><li>Create and articulate future state data platform vision via all the relevant architecture & design artifacts. Help validate these proposed future state architectures with proofs-of-concepts and/or MVPs.</li><li>Lead the analysis and documentation of the current application and integration landscapes, creating future state architectures and roadmaps.</li><li>Creation and management of architecture artefacts and lower-level components.</li><li>Perform application demonstrations and technical presentations</li><li>Provide technical expertise to design scalable data marts, data lake and data warehouse solutions, including addressing and resolving complex technical issues</li><li>Provide formal technical guidance and informal assistance to engineering teams.</li></ul> Basic Qualifications To perform this job successfully, an individual will need to perform each crucial duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. <ul><li>Minimum bachelor’s degree qualification, with strong quantitative background (STEM education background (Science, Technology, Engineering & Mathematics)</li><li>Deep knowledge of cloud data platforms (AWS, Azure)</li><li>4+ years of enterprise data strategy development</li><li>8+ years of deep solution architecture with focus on data technologies</li><li>5+ years of AWS/Azure data, Analytics and AI services</li><li>5+ years in data platforms and integration tools such as Snowflake, SnapLogic, Collibra, Informatica etc.</li><li>Working knowledge of BI analytics tools like Tableau, PowerBI.</li><li>Recent strong experience in AI/ML, Generative AI, Large Language Models (LLMs)</li><li>Experience implementing ETL pipelines using custom and packaged tools</li><li>5 + years of RDBMS experience</li><li>Data modeling, Datawarehouse, data lake and DataMart architecture experience</li><li>Have an excellent technical and commercial understanding in the creation of technology solutions and outcomes for customers.</li></ul>

Required Job Qualifications:
Bachelor degree and 5 years Information Technology experience OR Technical Certification and/or College Courses and 7 years Information Technology experience OR 9 years Information Technology experience.
Experience in application and/or product feature design.
Experience in application configuration.
Experience in cloud computing (SaaS / PaaS).
Experience in iterative and/or agile and/or scrum development.
Experience in solution architecture.
Application domain knowledge.
Prototyping.
Problem solving / analytical thinking.
Teamwork and collaboration.
Preferred Job Qualifications:
Bachelor degree in Computer Science or Information Technology.
Product-specific application architecture.
Ability to tie together solutions across systems.
Rich database experience with Teradata.
Experience in ETL Tools and Distributed technologies (Datastage/Hadoop).
Performs data modeling (conceptual, logical, and physical) for supported applications (OLTP, ODS, MDM, Data Marts, Data Warehouse) and projects and creates related diagram deliverables.
Support ETL processes moving data between various DB platforms via a custom-coded management application.

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Role: Snowflake Data Architect Location: Richardson, TX **(100% Onsite)Duration: Long TermDirect Client We are seeking a highly skilled Data Architect with extensive experience in Snowflake, Data Build Tool (dbt), Snaplogic, SQL Server, PostgreSQL, Azure Data Factory, and other ETL tools. The ideal candidate will have a strong ability to optimize SQL queries and a good working knowledge of Python. A positive attitude and excellent teamwork skills are essential. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain scalable data pipelines using Snowflake, DBT, Snaplogic, and ETL tools. SQL Optimization: Write and optimize complex SQL queries to ensure high performance and efficiency. Data Integration: Integrate data from various sources, ensuring consistency, accuracy, and reliability. Database Management: Manage and maintain SQL Server and PostgreSQL databases. ETL Processes: Develop and manage ETL processes to support data warehousing and analytics. Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver solutions. Documentation: Maintain comprehensive documentation of data models, data flows, and ETL processes. Troubleshooting: Identify and resolve data-related issues and discrepancies. Python Scripting: Utilize Python for data manipulation, automation, and integration tasks. Technical Skills:· Proficiency in Snowflake, DBT, Snaplogic, SQL Server, PostgreSQL, and Azure Data Factory.· Strong SQL skills with the ability to write and optimize complex queries.· Very strong knowledge of Python for data manipulation and automation.· Knowledge of data governance frameworks and best practices· Certifications: Relevant certifications (e.g., Snowflake, Azure) are a plus.

Data Architect Jobs in Richardson, TX

Enterprise Data Architect
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Sr Enterprise Data Architect
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Big Data Architect
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Snowflake Data Architect Richardson Tx Onsite Locals Only
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Data Architect Snowflake
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Data Architect Jobs in Richardson, TX

Enterprise Data ArchitectNovember 20, 2024

Sr Enterprise Data ArchitectNovember 17, 2024

Enterprise Data ArchitectNovember 17, 2024

Big Data ArchitectNovember 15, 2024

Snowflake Data Architect Richardson Tx Onsite Locals OnlyOctober 24, 2024

Data Architect SnowflakeOctober 23, 2024