Architect, Data Analytics/bi
2 weeks ago
Overview:
Main Purpose and Role justification for this L09 category due to the change in the Scope of the Role for building End 2 End Service Intelligence Architecture Solutions in Cloud Platform for PFNA Organization.
Practice Building - Drive the growth of the Service Intelligence Capabilities for Frito-Lay Utilizing a primarily Cloud focused approach for Pepsico Supply Chain Systems with the aim of developing strategic solution offerings and collaborating with Peer Leads.
Business Development - Foster Relationships with business owners and find consensus within large groups of stakeholders with disparate objectives, needs; and expansion of Service Intelligence portfolio.
Individual Development and Team Player - Lead by example to work in a team of Technical Architects and Data engineers and be a guiding force to create a dynamic service intelligence Data Modeling/Analysis and Warehousing solutions portfolio with passionate team player environment.
Responsibilities:
- Technical advisor/leader to a project team of large scope; manages the entire project.
- Adheres to tech. standards and strategies, Enforces Methodology ensuring quality and consistency of team deliverables.
- Leads all project activities by creating and managing execution and integration of plans.
- Responsible for the daytoday mgmt. of project work and resolving daily issues that arise
- Develops approach and plan to solve technical issues and resolves the most complex problems in their technology.
- Conducts cost benefit analyses and allocates resources within a project, forms productive networks with external experts and the vendor community to bring solutions to internal customers/partner's needs.
- Complexity involves being company focal point for technology issues in area of expertise and Consistently follows problems to a timely resolution and appropriately escalates issues to managerial and tech. leadership.
- Makes presentations customized to interests of audience and/or provides tech. training and mentoring to less experienced team members, Assists in establishing and maintaining a strong partnership with business partner and manages expectations besides Proactively and appropriately communicating to managerial and tech. leadership on project and operational issues
- Assists in successfully integrating new employees into the department, and builds others' skill sets by coaching them (i.e., coaching, mentoring
- Escalates issues and risks as appropriate and makes key decisions about tech. approach to components of projects.
Qualifications:
Years of Experience:
- 8 to 10 years of experience in Data and Software engineering, analytics, Business intelligence or other relevant roles.
- 5 Years of experience in Data Warehousing and Analytics practice in Cloud (Azure/AWS).
- 3 to 5 years of experience in constructing the Data Pipeline of Cloud PAAS service with Strong Domain knowledge in Data Engineering and Business Intelligence Solutions.
- 3 plus years of Experience in any IT Architecture Serving Consumer moving goods or Supply chain Systems is a plus.
- Demonstrate ability to create and drive roadmaps for Data Intelligence Analytics project.
- Proficiency in Data Visualization Reporting tools and Customization of UI components of Data Visualization is mandatory.
- 3 to 5 years of Python/Scala or Java language development experience is a must.
Mandatory Technical Skills:
- Must Have Skills
- . Architecting and Developing DATA Pipeline Architecture using Cloud PAAS solutions such as Azure Data Factor, Data Bricks and Azure Data Lake Gen - . Experience in Architecting the Azure Platform SAAS and PAAS components specifically for Data Analytics projects is a must.
- . Extensive experience in Software Languages such as PYTHON or SCALA or JAVA along with SQL query language is a must.
- . Proven ability to develop and design creative solutions addressing and meeting client's objectives and addressing most complex problems with hardened solutions.
- . Reports Development expertise in Power BI and associated UI customizations.
- . Expertise and Experience in TIBCO Middleware, SAP ECC and SAP PO is a big Plus.
- . Experience in Databases such as Oracle, Non
- Relational Databases is a must.
Mandatory Non-Technical Skills:
- Strong Communication Skills
- You're able to translate complex findings and results into a compelling narrative and you're able to communicate with technical and nontechnical stakeholders alike.
Presentation Skills
- Makes Presenta
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