Offer summary

Qualifications:

10 years of experience in designing and implementing large-scale data architecture for BI systems, 5 years in Azure data services and ETL tools, Python programming, Microsoft SQL technologies, CI/CD, SOA, and Micro Services Architecture.

Key responsabilities:

Design and develop data warehouses and pipelines in Azure

Evangelize engineering standards and contribute to the development of analytic applications

Engage in Agile ceremonies, write elegant code, communicate progress, and mentor junior engineers

Utilize Azure DevOps, Git, Jenkins, Jira, Confluence, prevent related flaws, Document technically and estimate project lengths

Job description

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 is 80% hands-on development and 20% architecting Big Data and BI solutions.

The Azure Data Architect is expected to evangelize and educate others on engineering design and development standards. Azure Data Architect is expected to function as a productive member of a team, working and communicating proactively 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 into production, 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
Evangelize engineering design and development standards
Act as a key contributor to the design and development lifecycle of analytic applications utilizing Microsoft Azure and BI technology platforms
Participate in Agile ceremonies including daily stand-ups, sprint planning, retrospectives, and product demonstrations
Produce efficient and elegant code that meets business requirements
Author unit tests that adhere to code coverage guidelines
Proactively communicate progress, issues, and risks to stakeholders
Accurately estimate assignments
Create and maintain technical documentation
Mentor less experienced engineers
Contribute to the growth and maturity of the Software Engineering Group
Performs other related duties as directed

Required Skills & Competencies

10 years of hands-on experience designing and implementing large-scale distributed data architecture for BI and OLTP systems
10 years of hands-on experience designing and implementing large-scale data pipelines
5 years of hands-on experience in Azure data services
5 years of hands-on experience with data integration using ETL / ELT tools
5 years of hands-on experience with Python including object-oriented programming and unit testing
Advanced experience with one or more Python parallel processing libraries
Advanced experience with one or more Python data analysis libraries
Advanced data modeling experience
Broad experience in Microsoft SQL technologies
Broad multi-tenant data architecture and implementation experience across different data stores, messaging systems and data processing engines
Experience with data integration through APIs, Web Services, SOAP, and/or REST services
Experience using Azure DevOps and CI/CD as well as Agile tools and processes including Git, Jenkins, Jira, and Confluence
Knowledge of SOA and Micros Services Application Architecture
Ability to work in a fast-paced, collaborative team environment
Excellent written and verbal communication skills and ability to express ideas clearly and concisely

Desired Attributes

Strong team player with ability to collaborate with all levels of the organization
Possess a drive towards forward progress and delivering results while taking responsibility
Multi-tasker with ability to set and manage priorities
Proactively and transparently communicate challenges and successes to product leadership
Exhibit attention to detail

Flexibility and willingness to help in other areas as priorities shift

Ability to effectively operate with minimal supervision, but knowing how to keep leadership in the loop

Education or Prior Work Experience

Bachelor's degree in CS or related field, master's degree preferred
10+ years of experience with designing and developing complex data architecture solutions
5+ years of design and development experience with Microsoft Azure data architecture and related solutions
5 years of hands-on experience with Python

Required profile