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Tier-1 employer and metro location increase applicant density, but senior specialization reduces competition.
Technical data platform and cloud skills are broadly transferable across industries.
Explicit 12–17 year bands plus mandatory Databricks/AWS and enterprise leadership make filters highly restrictive.
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Lead the architecture, development, and implementation of enterprise data platform strategy including Data Fabric, Data Management, and Analytics across AWS and Databricks environments.
Drive technical roadmaps aligned with company data strategy and ensure scalability, reliability, and performance of data platforms.
Provide expert guidance on data and AI technologies, collaborate with cross-functional leaders, and support application teams for large data volume solutions.
Master’s degree with 12-15 years OR Bachelor’s degree with 14-17 years in Computer Science, IT or related field.
10+ years experience in data architecture/engineering with hands-on cloud platform (AWS preferred) enterprise data platform experience.
5+ years leading enterprise scale data platforms and expert-level proficiency with Databricks.
Knowledge of data security, governance, and compliance practices in cloud environments; strong communication skills to influence senior stakeholders.
Experienced in enterprise data architecture with a focus on cloud-based data platforms (especially AWS and Databricks).
Able to lead strategic data platform initiatives, influence architectural decisions, and align cross-functional teams.
Comfortable with emerging data/AI technologies and implementing best practices for scalable, optimized cloud data solutions.