What is a Solutions Architect at Tiger Analytics?
At Tiger Analytics, a Solutions Architect plays a pivotal role in bridging the gap between complex business challenges and cutting-edge data and AI solutions. As an advanced analytics consulting firm, Tiger Analytics relies on its architecture team to design, build, and deploy robust, enterprise-grade data platforms that power predictive modeling, machine learning, and large-scale data processing. You will not simply be writing code; you will be drafting the technical blueprint for cloud migrations, modern data warehouses, and real-time analytics pipelines that serve Fortune 500 clients globally.
This role is highly strategic and client-facing, demanding a unique blend of deep technical mastery and consulting acumen. You will frequently collaborate with client stakeholders, product managers, and internal delivery teams to translate ambiguous business requirements into concrete, scalable technical designs. Whether optimizing an Azure Databricks lakehouse or defining data governance frameworks, your decisions will directly impact the performance, cost-efficiency, and competitive advantage of the enterprise solutions delivered by Tiger Analytics.
To succeed in this position, you must be comfortable navigating ambiguity and architecting systems that balance immediate delivery pressures with long-term scalability. The work is fast-paced and intellectually demanding, requiring you to stay ahead of the curve in cloud technologies, big data frameworks, and modern data modeling practices.


