This role pays more than
64%
of similar roles. Most pay
$173,200–$243,912
— the shaded band above.
At the midpoint, this role pays about
$222k
versus about
$209k
for comparable roles.
Based on 240 similar postings.
Employer
About SHI International
SHI International is a global IT solutions provider and Value-Added Reseller (VAR) that helps corporate, enterprise, and public sector customers manage, procure, and secure hardware, software, and cloud services.
SHI International currently has
48 open roles
on FindRole.
Listed pay typically runs
$125,000–$200,000
across 47 roles with salary data.
As a Principal Architect - Databricks within the Data and AI practice, you will lead the technical side of expanding Databricks capabilities. You will engage directly with customers to conduct technical discovery, design target-state platforms, and own the technical win for complex projects. Your daily work involves building out, migrating, and consolidating enterprise environments from Hadoop, Spark, legacy analytics platforms, and other cloud systems into a Databricks Lakehouse. You will also support AI and machine learning initiatives. Key technologies include Unity Catalog, metastore architecture, and various compute strategies. Core competencies involve data engineering pipelines, governance frameworks, and consumption economics to ensure scalable, cost-effective solutions. You must possess deep expertise in lakehouse architecture, migration strategy, and production-grade machine learning to solve complex integration challenges while collaborating with vendor teams to deliver high-quality technical content and service offerings.
What does a Architect earn?
Median $235750 from 31 postings across 17 companies.
Lead technical discovery, risk assessment, and architecture design for Databricks Lakehouse opportunities.
Develop technical content for proposals and Statements of Work (SOWs) during the pre-sales phase.
Provide accurate assessments of migration complexity and AI workload readiness to customer stakeholders.
Oversee project delivery to ensure final solutions align with original scope and architectural designs.
Define market-facing Databricks service offerings, including success metrics and repeatable delivery frameworks.
Collaborate directly with Databricks field teams to resolve technical challenges on joint accounts.
Design scalable, cost-effective data architectures involving migration from Hadoop, Spark, and legacy platforms.
Build production-grade data engineering pipelines and machine learning solutions for enterprise clients.
What we're looking for
Must have substantial hands-on Databricks experience gained through a partner organization, directly from Databricks, or managing an internal Lakehouse environment.
Must possess deep expertise in lakehouse architecture and platform design.
Must possess deep expertise in migration and consolidation of enterprise-scale environments.
Must possess deep expertise in data engineering and building production-ready pipelines.
Must have experience operating and supporting production machine learning or AI solutions beyond proof-of-concept implementations.
Must have proven success at a Principal Architect level as a senior technical authority in customer engagements.
Must have experience in presales or delivery leadership, including defining scope, developing proposals, and writing Statements of Work.
Databricks certification is preferred, with the ability to obtain it quickly if not currently held.
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