Inclusion Cloud
Washington, District of Columbia, United States
About the job: Azure Data Architect
One of our clients, an ERP SaaS company from the US, has an opening for an
Azure Data Architect
on the
Artificial Intelligence and Analytics team (AI+A) . This is a greenfield opportunity to develop an AI and Analytics application in the ERP and Work Management space. The Azure Data Architect is responsible for designing and implementing Big Data and BI solutions using the Microsoft Azure platform. This role involves
80% hands-on development and 20% architecture of Big Data and BI solutions . The Azure Data Architect is expected to evangelize and educate others on engineering design and development standards. The role requires proactive communication and collaboration with engineering peers, technical leads, project managers, product owners, and resource managers. The ideal candidate will have
10 years
of hands-on experience in designing, implementing, and delivering large-scale near real-time data warehouses. Essential Functions
Design and develop data warehouses and data pipelines within Azure Design and develop Azure ML model execution pipelines Contribute to the design and development lifecycle of analytic applications utilizing Microsoft Azure and BI platforms Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives, demos) Produce efficient, business-requirement-aligned code Author unit tests to meet coverage guidelines Communicate progress, issues, and risks proactively Estimate assignments accurately Create and maintain technical documentation Mentor less experienced engineers Support the growth and maturity of the Software Engineering Group Perform other related duties as needed Minimum requirements include: 10 years of experience designing and implementing large-scale distributed data architecture for BI and OLTP systems 10 years of experience designing and implementing large-scale data pipelines 5 years of experience with Azure data services 5 years of experience with data integration using ETL/ELT tools 5 years of experience with Python, including object-oriented programming and unit testing Advanced experience with Python parallel processing libraries Advanced experience with Python data analysis libraries Strong data modeling skills Broad experience with Microsoft SQL technologies Experience with multi-tenant data architecture across various data stores and messaging systems Experience with data integration via APIs, Web Services, SOAP, REST Experience with Azure DevOps, CI/CD, Git, Jenkins, Jira, Confluence Knowledge of SOA and Microservices architecture Strong collaboration skills and ability to work in a fast-paced environment Excellent communication skills Desired Attributes
Strong team player with organizational collaboration skills Results-driven with responsibility and accountability Ability to manage priorities effectively Transparent communication of challenges and successes Attention to detail Flexibility and adaptability Self-motivated with minimal supervision, while keeping leadership informed Education and Experience
Bachelor's degree in CS or related field; master's preferred 10+ years of experience in complex data architecture solutions 5+ years of experience with Microsoft Azure data architecture 5 years of hands-on Python experience
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One of our clients, an ERP SaaS company from the US, has an opening for an
Azure Data Architect
on the
Artificial Intelligence and Analytics team (AI+A) . This is a greenfield opportunity to develop an AI and Analytics application in the ERP and Work Management space. The Azure Data Architect is responsible for designing and implementing Big Data and BI solutions using the Microsoft Azure platform. This role involves
80% hands-on development and 20% architecture of Big Data and BI solutions . The Azure Data Architect is expected to evangelize and educate others on engineering design and development standards. The role requires proactive communication and collaboration with engineering peers, technical leads, project managers, product owners, and resource managers. The ideal candidate will have
10 years
of hands-on experience in designing, implementing, and delivering large-scale near real-time data warehouses. Essential Functions
Design and develop data warehouses and data pipelines within Azure Design and develop Azure ML model execution pipelines Contribute to the design and development lifecycle of analytic applications utilizing Microsoft Azure and BI platforms Participate in Agile ceremonies (daily stand-ups, sprint planning, retrospectives, demos) Produce efficient, business-requirement-aligned code Author unit tests to meet coverage guidelines Communicate progress, issues, and risks proactively Estimate assignments accurately Create and maintain technical documentation Mentor less experienced engineers Support the growth and maturity of the Software Engineering Group Perform other related duties as needed Minimum requirements include: 10 years of experience designing and implementing large-scale distributed data architecture for BI and OLTP systems 10 years of experience designing and implementing large-scale data pipelines 5 years of experience with Azure data services 5 years of experience with data integration using ETL/ELT tools 5 years of experience with Python, including object-oriented programming and unit testing Advanced experience with Python parallel processing libraries Advanced experience with Python data analysis libraries Strong data modeling skills Broad experience with Microsoft SQL technologies Experience with multi-tenant data architecture across various data stores and messaging systems Experience with data integration via APIs, Web Services, SOAP, REST Experience with Azure DevOps, CI/CD, Git, Jenkins, Jira, Confluence Knowledge of SOA and Microservices architecture Strong collaboration skills and ability to work in a fast-paced environment Excellent communication skills Desired Attributes
Strong team player with organizational collaboration skills Results-driven with responsibility and accountability Ability to manage priorities effectively Transparent communication of challenges and successes Attention to detail Flexibility and adaptability Self-motivated with minimal supervision, while keeping leadership informed Education and Experience
Bachelor's degree in CS or related field; master's preferred 10+ years of experience in complex data architecture solutions 5+ years of experience with Microsoft Azure data architecture 5 years of hands-on Python experience
#J-18808-Ljbffr