AVP, Data Engineering
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Job Description
AVP of Data Engineering owning Ensemble’s enterprise data platform strategy. Leading cloud-native data platform design on Azure and Databricks for scalable analytics and AI capabilities.
Responsibilities:
- Own and evolve Ensemble's enterprise data platform and data product strategy to enable analytics at scale
- Lead the design and execution of a cloud-native data platform built on Azure and Databricks
- Enable trusted, governed, and reusable data products
- Translate business and product strategy into scalable data platform capabilities
- Ensure data is AI-ready, secure, observable, cost-efficient, and consumable
- Establish and evolve a data platform architecture that enables AI, machine learning, and advanced analytics workloads
- Partner with Data Science, Analytics, Product, and Cloud teams
- Define and enforce AI-ready data standards
- Treat enterprise datasets as data products with clear ownership, quality guarantees, documentation, and usage metrics
- Build and evangelize a reusable data product layer that enables self-service analytics
Requirements:
- 10+ years of leadership and technology-related experience
- Masters Degree or Equivalent Experience
- 10+ years of coding experience with ANSI SQL
- 3+ years working with big data technologies including Databricks, SPARK, Azure, Power BI
- Excellent understanding of engineering fundamentals: testing automation, code reviews, telemetry, iterative delivery and DevOps
- Experience with polyglot storage architectures including relational, columnar, key-value, graph or equivalent
- Demonstrated ability to communicate effectively to both technical and non-technical, globally distributed audiences
- Solid foundations in formal architecture, design patterns and best practices
- Experience designing data platforms that support AI/ML, advanced analytics, or intelligent automation workloads.
- Deep experience with Azure cloud services and Databricks, including Spark-based data engineering patterns.
- Experience operating data platforms in regulated or healthcare environments (HIPAA, PHI, data privacy) strongly preferred.
- Proven ability to translate business and clinical domain needs into scalable data solutions.
Benefits:
- Health insurance
- Time off
- Retirement programs
- Well-being programs
- Professional development
- Certification opportunities
- Recognition programs
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