Databricks Lakehouse Lead & Solutions Architect

Tiger Analytics; Dallas (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Tiger Analytics is a leading analytics consulting firm helping Fortune 100 clients unlock value from data. We are seeking a Senior Data Architect and Analytics Leader to drive end-to-end Databricks-based modern data platforms, mentor teams, and shape strategic data & insights programs across cloud environments.

Strong expertise in Spark, Lakehouse, and governance is essential. You will partner with CIOs/CTOs, design scalable architectures, and lead capabilities in data engineering, ML, and AI

Qualifications

• 10+ years of experience building solution architectures for large enterprises and complex transformation programs.
• Databricks expertise is a core requirement, including hands-on and architectural experience with Databricks Lakehouse Platform, Delta Lake, Spark, Unity Catalog, and workflows.

Responsibilities

• Liaise with data and technology leaders across client organizations to provide advisory services and thought leadership.
• Lead brown-bag sessions, workshops, and educational forums on data, AI, cloud, and platform perspectives for core clients.
• Conduct reviews of client data platforms, operating models, and technology practices; provide improvement recommendations and roadmaps.
• Provide technology leadership for Data & Insights transformation agendas spanning technology, organization, processes, and governance.
• Help recruit and assess key technology talent for critical client-facing roles.
• Create scalable technology solutions for first-of-a-kind, enterprise-wide initiatives.

Skills

Databricks

Data architecture

Azure cloud

Leadership

Tools

Apache Spark

Delta Lake

Databricks Lakehouse Platform

Job description

Tiger Analytics is a leading analytics consulting firm helping Fortune 100 clients unlock value from data. We are seeking a Senior Data Architect and Analytics Leader to drive end-to-end Databricks-based modern data platforms, mentor teams, and shape strategic data & insights programs across cloud environments.

Strong expertise in Spark, Lakehouse, and governance is essential. You will partner with CIOs/CTOs, design scalable architectures, and lead capabilities in data engineering, ML, and AI