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Lead Data Architect (Snowflake)

121 865 - 164 875$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Lead Data Architect (Snowflake): Designing and evolving an enterprise cloud data platform and data integration pipelines supporting underwriting, claims, actuarial, finance, and analytics with an accent on data modeling, governance, and scalable Snowflake engineering. Focus on migrating legacy batch processes to event-driven and CDC-based ingestion, optimizing workloads, and establishing reliable bronze, silver, and gold data layers.

Location: Boston, United States. Qualified candidates must be eligible to work in the US without sponsorship or restriction.

Base salary: $121,865–$164,875 per year

Company

hirify.global supports insurance-focused business functions including underwriting, claims, actuarial, finance, and enterprise analytics.

What you will do

  • Lead the enterprise data architecture across policy, party, claims, billing, underwriting, and related domains.
  • Design canonical, semantic, and medallion-style bronze, silver, and gold data models.
  • Develop scalable ELT/ETL pipelines in Snowflake and modern cloud-native tools.
  • Migrate legacy batch processes to automated, event-driven, and CDC-based ingestion patterns.
  • Establish data quality, metadata, lineage, security, observability, resiliency, and recovery standards.
  • Provide technical leadership, review architecture and code, mentor data engineering teams, and guide technology evaluations.

Requirements

  • Bachelor’s degree in computer science or a relevant field.
  • 5–10 years of experience in data architecture and data engineering, including technical leadership.
  • Strong conceptual, logical, and physical data modeling expertise and enterprise architecture experience.
  • Advanced ELT/ETL experience, cloud data warehouse expertise, and hands-on Snowflake experience.
  • Proficiency in Python and SQL, with experience in large-scale data processing.
  • Eligibility to work in the US without sponsorship or restriction is required.

Nice to have

  • Insurance industry experience.
  • Snowflake certification.
  • Familiarity with dbt, Airflow, Azure Data Factory, Power BI, MDM, canonical modeling, and governance frameworks.

Culture & Benefits

  • Work with business analysts, data scientists, actuaries, analytics teams, and senior leadership.
  • Opportunity to shape a modern, governed, cloud-based enterprise data ecosystem.
  • Focus on reusable, scalable data products and engineering best practices.

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