Data Platform Strategy Consultant

Databricks, AWS

We are looking for a senior consultant to provide an independent assessment of whether a Databricks-based data platform would deliver greater long-term value than continuing the evolution of an existing AWS-native data platform.

Start

ASAP

Duration

11-12 weeks

Location

Remote

Allocation

50- 100%

This is a strategic advisory assignment focused on a major platform decision. You will evaluate whether consolidating data engineering, storage, and analytics capabilities onto Databricks would provide measurable advantages compared to continuing the incremental modernization of the current environment. Your assessment should cover platform economics, engineering productivity, operational complexity, and end user outcomes.

Your Responsibilities

Assess the current AWS-based data platform and its modernization roadmap
Compare a Databricks-based approach against continued evolution of the existing platform
Evaluate multi-year Total Cost of Ownership (TCO) across both scenarios
Assess whether migration could reduce operational complexity and maintenance effort for data engineering teams
Evaluate potential benefits for analysts, data scientists, and business stakeholders
Deliver independent, vendor-neutral recommendations and decision-making material for senior leadership

Requirements

Proven experience in technology strategy consulting, platform assessments, or architecture advisory engagements
Strong understanding of Databricks and modern data platform architectures
Experience evaluating platform strategies from both business and engineering perspectives
Experience building TCO analyses, investment cases, or technology cost models
Ability to communicate complex technical trade-offs to senior business stakeholders
Strong analytical and stakeholder management skills

Technical Requirements

Strong understanding of cloud-based data and analytics platforms
Deep familiarity with Databricks capabilities and operating models
Understanding of modern data platform technologies such as Apache Spark, Apache Kafka, Apache Iceberg, Amazon Athena, and AWS Glue
Experience with data platform modernization, migration, or consolidation initiatives
Understanding of data engineering, analytics, and data science workflows

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