7 дней назад
Principal Data Architect (GCP)
195 000 - 270 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Data Architect (GCP): Lead the architecture and implementation of scalable Data Lakehouse platforms on Google Cloud with an accent on BigQuery, data ingestion, governance, security, and performance. Focus on designing real-time and batch pipelines, guiding client solution decisions, and balancing strategic architecture with hands-on troubleshooting and technical leadership.
Location: Remote
Salary: $195,000–$270,000 per year
Company
is a fast-growing engineering and technology company that helps clients use Google Cloud, Salesforce, and data platforms to drive business impact.
What you will do
- Lead the architecture, design, and implementation of scalable Data Lakehouse solutions on GCP using BigQuery, GCS, BigLake, and Dataplex.
- Translate customer business goals, data challenges, and technical requirements into architectural blueprints and delivery plans.
- Design real-time and batch data ingestion pipelines with orchestration and streaming frameworks.
- Establish practices for data cataloging, metadata, lineage, data quality, security, access control, and governance.
- Serve as technical lead for project teams by mentoring engineers, reviewing solutions, and ensuring architectural consistency.
- Advise clients and stakeholders on trade-offs, scalability, solution adoption, and long-term maintainability while contributing to POCs, pipeline work, and performance tuning.
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, data products, and medallion architectures.
- Strong knowledge of real-time and batch ingestion, ETL/ELT pipeline design, and orchestration with tools such as Airflow and Pub/Sub.
- Expertise in data modeling, storage optimization, partitioning, and performance tuning for large-scale analytical workloads.
- Experience with data governance, security, and cataloging solutions such as Dataplex, Data Catalog, and IAM.
- Excellent communication and presentation skills, with the ability to lead mixed teams and engage technical and non-technical stakeholders.
Nice to have
- Experience with Databricks, Delta Lake, Unity Catalog, and hybrid GCP–Databricks architectures.
- Curiosity to explore new technologies and the ability to move between architecture discussions and code-level troubleshooting.
Culture & Benefits
- Remote work environment.
- Health insurance and paid vacation, holidays, and sick leave.
- Parental and bereavement leave.
- 401(k) employer match.
- Employee referral bonuses.
- Standard hiring verification may include background and employment checks; AI tools may support parts of the hiring process, with final decisions made by people.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →