Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
$180к-250к/год
$160к$190кмедиана$210к
По похожим ролям (49) ~ $190к/год
На СНГ рынке: $4.2к/мес ($3.1к - $5.6к)
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Роль чётко ориентирована на архитектуру данных и использует актуальный стек GCP, но клиентская работа может предполагать переходы между проектами.
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Работа на проектахАктуальный стекПонятная роль
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Data Architect (GCP/Data Lakehouse): Leading the architecture and implementation of scalable Data Lakehouse solutions on Google Cloud using BigQuery, GCS, BigLake, and Dataplex with an accent on real-time and batch data pipelines, governance, security, and performance. Focus on designing medallion architectures, mentoring delivery teams, guiding client solution decisions, and solving complex data platform and pipeline challenges.
Location: Nashville, TN; hybrid workplace
Salary: $180,000–$250,000 per year, plus an annual bonus and benefits.
Company
hirify.global is a fast-growing, data-first engineering and technology company helping clients use Google Cloud, Salesforce, and data insights to drive business impact.
What you will do
Lead end-to-end architecture, design, and implementation of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, BigLake, and Dataplex.
Work directly with clients to understand business and technical requirements and translate them into architectural blueprints and delivery plans.
Design real-time and batch ingestion pipelines using modern orchestration and streaming frameworks.
Establish data cataloging, metadata, lineage, data quality, security, access control, and governance practices.
Act as technical lead for project teams by mentoring engineers, reviewing solutions, and maintaining architectural consistency.
Combine strategic architecture work with hands-on POCs, pipeline deep dives, performance tuning, and client advisory.
Requirements
8–10 years of progressive experience in Software Engineering and Data Platform development, including 5+ years architecting data platforms on GCP and/or Databricks.
Hands-on experience designing and deploying Data Lakehouse platforms with data products and medallion architectures.
Strong knowledge of real-time and batch ingestion, ETL/ELT pipeline design, and orchestration with Airflow, Pub/Sub, or similar frameworks.
Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
Experience implementing data governance, security, and cataloging solutions such as Dataplex, Data Catalog, IAM, or equivalent.
Excellent communication and presentation skills for engaging technical and non-technical stakeholders and guiding solution decisions.
Ability to lead mixed teams of engineers, analysts, and architects while balancing architectural vision with hands-on delivery.
Strong problem-solving mindset, curiosity about new technologies, and ability to work at both architecture and code-troubleshooting levels.
Nice to have
Experience with Databricks, Delta Lake, Unity Catalog, and hybrid GCP–Databricks data architectures.
Culture & Benefits
Data-first, entrepreneurial environment focused on learning, innovation, and solving complex problems.
Comprehensive health insurance, paid vacation/PTO, paid holidays, sick leave, parental leave, and bereavement leave.
401(k) employer match and employee referral bonuses.
Standard hiring verification may include background and employment checks.
Equal opportunity employer with reasonable accommodations available throughout the selection process.
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