Lead Consultant – Data Architecture & Engineering

Kavaliro; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Kavaliro is seeking a Lead Consultant for Data Architecture & Engineering to guide modernization of data platforms, AI adoption, and enterprise-scale transformation. The role blends hands-on architecture with stakeholder engagement and team leadership.

You will design cloud-based data solutions, partner with executives on roadmaps and business cases, and mentor data engineers and analytics professionals across projects.

Qualifications

• 10+ years in data engineering/architecture/analytics/AI.
• 5+ years in a consulting, advisory, or leadership role.
• Experience with enterprise data platforms and cloud architectures.
• Expertise in Python, SQL, data integration, and analytics solutions.
• Hands-on with Azure, Databricks, Snowflake, and Power BI.
• Ability to bridge business strategy with technical execution.
• Strong communication and stakeholder management.

Responsibilities

• Lead data architecture, engineering, analytics, and AI engagements from strategy through implementation.
• Design modern cloud-based data platforms and enterprise data solutions.
• Partner with executive stakeholders to define roadmaps, business cases, and transformation strategies.
• Support business development activities including solution design, proposals, and client presentations.
• Mentor and lead teams of data engineers, architects, and analytics professionals.
• Drive adoption of advanced analytics, machine learning, and Generative AI capabilities.

Skills

Data engineering

Data architecture

Analytics

AI/ML

Python

SQL

Data integration

Cloud platforms

Tools

Azure

Databricks

Snowflake

Power BI

Job description

We're seeking a Lead Consultant – Data Architecture & Engineering to help organizations modernize their data platforms, drive AI and analytics initiatives, and lead enterprise-scale digital transformation programs.

This is an ideal opportunity for a technical leader who enjoys combining hands‑on architecture expertise with stakeholder engagement, business development, and team leadership.

What You'll Do

• Lead data architecture, engineering, analytics, and AI engagements from strategy through implementation.
• Design modern cloud-based data platforms and enterprise data solutions.
• Partner with executive stakeholders to define roadmaps, business cases, and transformation strategies.
• Support business development activities including solution design, proposals, and client presentations.
• Mentor and lead teams of data engineers, architects, and analytics professionals.
• Drive adoption of advanced analytics, machine learning, and Generative AI capabilities.

What You Bring

• 10+ years of experience in data engineering, data architecture, analytics, or AI.
• 5+ years in a consulting, advisory, or leadership role.
• Strong experience with enterprise data platforms, cloud technologies, and modern data architectures.
• Expertise in Python, SQL, data integration, and analytics solutions.
• Hands‑on experience with Azure, Databricks, Snowflake, and Power BI.
• Proven ability to bridge business strategy with technical execution.
• Exceptional communication and stakeholder management skills.

Preferred Experience

• AI/ML and Generative AI solutions.
• Enterprise data governance and operating model design.
• Cloud architecture or data platform certifications.

If you're passionate about building scalable data solutions, leading high-impact transformation initiatives, and helping organizations unlock the value of their data, we'd love to hear from you.