We are looking for a hardworking, aspirational and innovative engineering leader for the Senior BI Architect role in our AI engineering and innovation team.
The BI Architect will play a diverse and far-reaching role across organizations providing leadership and influencing adoption of technical solutions, strategies and design patters across multiple teams and partners within Kimberly-Clark.
This team is mainly responsible for solving business problems and building visualizations to demonstrate the opportunities and value to the stakeholders.
We are looking for a highly motivated and qualified Senior BI Architect to help drive our AI Innovation initiatives.
This role is ideal for candidates with strong hands-on skills in various visualization techniques and tools, data analysis, SQL and understanding business through data.
Responsibilities
Understand the business problem, analyse the data, and define the success criteria
Design informative and interactive data visualizations/models using Power BI, Tableau, ThoughtSpot and other Visualization tools
Design and Architect Semantic models for OLAP and BI tools to efficiently consume the data with high degree of self-service capabilities
Design the metadata catalog for BI and OLAP semantic layers and work with Enterprise team to incorporate this into the data catalog
Build scalable OLAP and BI solutions leveraging Azure Analysis Services, Power BI Datasets, or AtScale and other Semantic Solutions
Understand business consumption needs and define approaches and solutions to integrate with BI Semantic Layers
Evaluate and prove out new tools/capabilities quickly through POCs/POVs and provide readouts to the management teams
Drive self-service capabilities with the business, train business teams on new technical capabilities and how to consume the data effectively
Must be conversant with Agile methodologies and tools and have a track record of delivering products in a production environment.
Build visualizations based on target audience with the right level of detail and views that would highlight purpose-built-insights
Ensure that our development and deployment are tightly integrated to each other to maximize the deployment user experience.
Develop and disseminate innovative techniques, processes and tools, that can be leveraged across the AI product development lifecycle.
Qualifications
5+ years of experience with BI solution development and Power BI Datasets, including DAX and data modeling, data mart and data warehouse architecture
5+ years of demonstrated experience in building and driving business adoption of OLAP Cubes using SSRS, SSAS (MDX), and Azure Analysis Services Cubes
5+ years of data analysis in SQL, data cleansing and processing in Python and other languages
Proficient and experienced in understanding Semantic models, underlying Data lake and data models and BI DW methodologies
Experience in highlighting the trends and relationships, causations, and other relationships through the Visualizations
Hands on experience and familiarity with storage and compute services in Azure, Azure SQL Server, building data processing pipelines and building reports/cubes on SSRS and SSAS
Knowledge on SQL/NoSQL databases, microservices and REST APIs, docker
Strong Knowledge on source code management, configuration management, CI/CD, security and performance.
Ability to look ahead to identify opportunities and thrive in a culture of innovation
Self-starter who can see the big picture, and prioritize your work to make the largest impact on the business and customer s vision and requirements
Experience in building, testing, and deploying code to run on Azure cloud datalake
Ability to Lead/nurture/mentor others in the team.
A can-do attitude in anticipating and resolving problems to help your team to achieve its goals.