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Tier-1 brand plus metro location and senior but visible role yields moderate applicant competition.
Highly specialized data and Lakehouse architecture skills make cross-industry transferability limited.
Explicit 12+ years, 8+ years technical mandates, and required cloud/Spark skills increase screening strictness.
Serve as trusted technical advisor for strategic Fortune 500 and global AI/SaaS accounts, influencing key architectural decisions.
Design and implement GenAI, ML, and Lakehouse architectures using Databricks Data Intelligence Platform, including proofs of concept and cloud integrations.
Drive account strategies and collaborate with sales, product, and engineering teams to solve complex data and AI challenges and expand customer solutions.
12+ years of experience in data engineering, data science, technical architecture, or related consulting/pre-sales role.
8+ years hands-on experience with Big Data and AI technologies including Apache Spark and modern AI/ML workloads.
Proficiency in coding with Python, SQL, Scala, Java, or R and experience building distributed data systems at enterprise scale.
Hands-on experience with at least one major public cloud (AWS, Azure, or GCP). Travel availability regionally and occasionally internationally.
Experienced working with large enterprise or Fortune 500 customers, ideally supporting global accounts across multiple geographies.
Demonstrated ability to design and build end-to-end data and AI technical solutions, not only advising on architecture.
Strong consulting and customer-facing background with a track record driving adoption of data and AI platforms in digital-native or mature SaaS enterprises.