AVP, Data Engineering

Ensemble Health Partners

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.

Posted 4/16/2026full-timeRemote • 🇺🇸 United StatesLead💰 $163,600 - $245,400 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

Health insurance
Time off
Retirement programs
Well-being programs
Professional development
Certification opportunities
Recognition programs

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

ANSI SQLbig data technologiesDatabricksSPARKAzurePower BItesting automationcode reviewstelemetryDevOps

Soft Skills

leadershipcommunicationcollaborationproblem-solvingdocumentation

Certifications

Masters Degree