Remote Databricks Lakehouse Architect Lead

SHI; Baton Rouge (LA); Remote; USD 195,000 - 250,000; Full time

Benefits offered by this job

Diversity commitment

Professional growth

Health and financial benefits

Remote-friendly

Job summary

SHI is expanding its Databricks capability and seeks a Principal Solutions Architect to lead the technical side of lakehouse initiatives. You will work with customers from the outset, qualifying opportunities, designing target architectures, and guiding migration projects.

This senior individual contributor role shapes Databricks offerings, partners with vendor teams, and ensures delivery aligns with scope, focusing on data engineering and AI workloads.

Qualifications

• Deep expertise in lakehouse architecture and platform design.
• Proven enterprise migration and consolidation experience.
• Experience in data engineering and production ML/AI solutions.
• Strong presales, proposal, and SOW development capabilities.

Responsibilities

• Lead qualification, technical discovery, target architecture design, and risk assessment.
• Develop technical content for proposals and SOWs.
• Build and maintain technical relationships with customer architects and stakeholders.
• Provide realistic assessments of migration complexity, AI workload readiness, and risks.
• Review architecture decisions and ensure delivery aligns with scope.
• Shape Databricks service offerings and collaborate with Databricks teams.

Skills

Databricks Lakehouse

Lakehouse Architecture

Migration Strategy

Data Engineering

ML Engineering

Governance

Cost Management

Presales Leadership

Vendor Collaboration

Tools

Databricks

Job description

SHI is expanding its Databricks capability and seeks a Principal Solutions Architect to lead the technical side of lakehouse initiatives. You will work with customers from the outset, qualifying opportunities, designing target architectures, and guiding migration projects.

This senior individual contributor role shapes Databricks offerings, partners with vendor teams, and ensures delivery aligns with scope, focusing on data engineering and AI workloads.