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EnrollHere

EnrollHere

via Workable

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Senior Data Architect

Anywhere
Full-time
Posted 1/6/2026
Direct Apply
Key Skills:
SQL
Python
Data Visualization
Data Warehousing

Compensation

Salary Range

$120K - 200K a year

Responsibilities

Design and build production-grade data products, ensure data quality, and architect scalable data platforms.

Requirements

Extensive experience with data architecture, Databricks, Azure, and Spark development, along with platform scalability and governance expertise.

Full Description

EnrollHere is on a mission to make healthcare enrollment simple, transparent, and accessible for everyone. We partner with organizations nationwide to deliver streamlined technology and exceptional customer experiences, ensuring members can access the coverage they need with confidence. Our fully remote team thrives on collaboration, innovation, and a shared commitment to improving the enrollment journey for all. We are looking for a Senior Data Architect/Engineer to own the growth of EnrollHere’s Data Platform. Our Databricks platform will be scaling dramatically in the next year and increasingly supports application and advanced analytics use cases, not just BI. As consumption becomes more automated, data correctness and stability are non-negotiable. This role owns the Databricks platform and the data products built on top of it, balancing hands-on delivery with architectural oversight. Responsibilities Design and build production-grade data products: Explicit schemas and semantic definitions Versioning and backward-compatibility strategies Defined freshness and quality expectations Implement quality enforcement as part of the platform: Validation at ingestion and transformation layers Clear ownership and visibility when data breaks Blocking vs non-blocking failures based on consumer impact Architect the platform for rapid growth: Compute isolation and concurrency planning Partitioning and layout strategies Cost and performance optimization Build and maintain core platform components: Reusable ingestion and transformation patterns CI/CD and testing standards for data workloads Act as the architectural decision-maker while remaining an active contributor What You'll Own Databricks Lakehouse architecture (Azure-first, some GCP) Data products with clear schemas, contracts, and consumers Data quality and correctness across the platform Interfaces for downstream consumption (tables, views, curated datasets) Platform scalability, reliability, and governance Owning Databricks platforms in production at meaningful scale Designing data quality systems beyond ad-hoc checks Strong Azure experience (ADLS, IAM, security patterns) Hands-on Spark development (internals a plus, not required) Building platforms used by multiple teams with real dependencies Comfort operating as both builder and overseer We believe in taking care of our team, which is why we offer a comprehensive benefits package that supports your health, wellness, and future: Medical: 4 United Healthcare medical plans (including an HSA option) Dental: 3 dental plans (Aetna and MetLife) Vision: 2 Aetna vision plans Wellness & Mental Health: 5 additional Medical Plus benefits, including telehealth support and an annual Talkspace subscription Ancillary Coverage: 4 ancillary plans and supplemental life insurance Retirement: 401(k) with a 4% match (after a 90-day exclusionary period) PTO & Flexibility: Generous PTO and remote work support Growth: Learning stipends and opportunities for professional development

This job posting was last updated on 1/8/2026

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