Role: Senior Data Engineer
Location: 3 days in midtown NYC
Core Stack: Databricks, Spark, Python, SQL, Akkio AI
Technical Requirements
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Experience: 6+ years in Data/Platform Engineering (AdTech, Identity, or MarTech preferred).
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Architecture: Proven expertise building and maintaining Databricks Medallion (Bronze/Silver/Gold) architectures.
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Identity & Data: Experience with Identity Graphs, HHID/MAID/IP resolution, and complex join logic.
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Integrations: Hands-on experience managing third-party data pipelines (e.g., DeepSync, Experian, FreeWheel).
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Tooling: High proficiency in SQL and Python.
AI & Prompt Engineering Skills
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AI Implementation: Practical experience with AI/ML platforms or AI-enabled analytics tools (Akkio preferred).
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Prompt Design: Ability to design, test, and refine prompts for structured data analysis and decision support.
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Model Optimization: Understanding how schema design and feature engineering impact AI model performance.
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Operationalization: Ability to translate business questions into effective AI-driven data assets.
Preferred Qualifications
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Familiarity with identity vendors (DeepSync, Experian).
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Experience with cloud-scale cost optimization.
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Background in productionizing ML/AI workflows in governed environments.


