What you'll do
The Data Platforms team within the AI & Emerging Technology organization is looking for a hands-on Solutions Architect to join our transformational team with a focus on enabling data analytics, data governance/management, and business intelligence capabilities. The successful candidate will work with partner teams to understand their data, analytics, reporting, and data sciences needs, determine the capabilities required to enable and then materialize into roadmaps, functional designs, and systems for Data Products. The ideal candidate understands how the needs of our business partners translate into capabilities enabled by cloud technologies and will then be able to prototype and build cloud-based solutions that also integrate with on-premises systems.
In this role, you'll:
Enable successful business outcomes across the Data Technology solution stack with a special focus on designing and helping partner groups build production capabilities and reduce technical debt/risks.
Provide technical solution leadership, designing for sustainable solutions and repeatable patterns across Data, Data Analytics, Data Reporting, Data Sciences, and Data Movement technologies which align with business capabilities.
Have a hands-on approach spanning across design, build, and productionizing solutions.
Be a trusted advisor and cloud adoption advocate by providing specialized advice on cloud migration of existing on-premises solutions, applications, and data.
Create and deliver solution communication packages to all levels of stakeholders up to and including the senior leadership team.
Perform code and infrastructure reviews to diagnose issues and provide resolutions.
What you bring
A continuous learning mindset with customer focus and the ability to prioritize work.
A self-motivated, agile, and innovative team member, who can manage in an environment of change and ambiguity.
Solid understanding and practical experience with fundamental data systems architecture including, but not limited to various database types, data engineering, data movement, data visualizations, Lakehouse architecture, Data Reporting technologies, ETL/ELT, data governance technologies, CICD, and code/model management.
5+ years of design and hands-on experience in Data Platforms, Analytics, Integration technologies (end-to-end stack) and Database technologies.
Broad knowledge across foundational technology domains including security, infrastructure, and networking.
Deep knowledge of and experience working with ADLS Gen2, Databricks, Data Factory, and Synapse.
2+ years of experience working in a Cloud environment (Azure preferred).
2+ years working in an Agile delivery environment (SAFe preferred).
Working experience in Tibco Stack (all components), IBM Stack, Kafka/Pulsar and Event driven/Event stream architecture.
Have lived through at least 1 migration of on-premises systems to the Cloud or Hybrid implementation.
Experience with Infrastructure as code tools such as Ansible, Terraform or CloudFormation (preferably Terraform).
An inquisitive mindset with forward thinking to come up with innovative solutions to technical problems.
Storytelling skills, while being a patient listener to communicate effectively with the stakeholders.
Bachelor's degree in Computer Science, Information Technology, Engineering, or related field is preferred.
Certification in one or more of the following technology subject areas is preferred: Cloud, Database, Data, Business Intelligence, Data Science/ML/AI.
We value flexibility. We have adopted a hybrid work model whereby employees use a combination of working in office and virtually in service of outcomes. Each leader is empowered to decide what work is best achieved in person based on the unique needs of their team.
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