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Metro location and mid-level seniority increase competition, but Databricks specialization narrows candidate pool.
Cloud and Databricks skills transfer across industries, though enterprise tax domain knowledge is somewhat specific.
Explicit five-year minimum, senior architect experience, and mandatory Databricks/cloud skills make screening stringent.
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Design and deliver enterprise-scale cloud and data solutions using Databricks, Azure, and AWS platforms.
Lead technical discovery and architect scalable, secure cloud-native designs aligned with business objectives.
Provide technical leadership through mentorship, code reviews, and collaboration with DevOps and security teams to embed CI/CD and infrastructure-as-code practices.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field.
Minimum 5 years of progressive experience in data architecture or cloud engineering, including at least 3 years in a senior or lead architect role.
Hands-on experience with Databricks, Azure or AWS cloud platforms, and data modeling tools.
Not explicitly mentioned: notice period or strict location requirements.
Experienced in delivering data platform solutions for enterprise environments with strong knowledge of Databricks components (Delta Lake, Unity Catalog, MLflow).
Deep understanding of Azure networking (VNets, Network Security Groups, Azure Private Link) and security frameworks within cloud environments.
Proficient in infrastructure-as-code (Terraform), DevOps practices, and capable of independently leading technical engagements and cross-functional teams.