Senior Data Architect/Engineer

enrollhere, inc. • United State
Remote
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AI Summary

EnrollHere seeks a Senior Data Architect/Engineer to own the growth of EnrollHere's Data Platform. This role involves designing and building production-grade data products, architecting the platform for rapid growth, and implementing quality enforcement.

Key Highlights
Design and build production-grade data products
Architect the platform for rapid growth
Implement quality enforcement
Technical Skills Required
Databricks Azure Spark development Data quality systems
Benefits & Perks
Comprehensive benefits package
Medical, dental, and vision plans
401(k) with a 4% match
Generous PTO and remote work support
Learning stipends and opportunities for professional development

Job 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

Requirements

  • 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

Benefits

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

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