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6 дней назад

Lead Data Architect (GCP)

Формат работы
hybrid/onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
SA
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Lead Data Architect (GCP) (Financial Data Platforms): Designing and implementing a scalable Google Cloud Lakehouse platform and Customer 360 solutions for a major financial institution with an accent on data integration, identity resolution, security, and regulatory compliance. Focus on building production-grade pipelines, Power BI semantic models, and leading a team of 6–8 data engineers through complex enterprise architecture decisions.

Location: Riyadh, Saudi Arabia; on-site during the initial 3-week Discovery phase, followed by a hybrid working model. Candidates must currently be based in Saudi Arabia and have valid work authorization.

Company

hirify.global is a global software development services provider delivering AI-driven solutions, cloud services, and data engineering across EdTech, FinTech, and HealthTech.

What you will do

  • Design and document high-level and low-level architecture for a Google Cloud Lakehouse platform.
  • Implement raw, standardized, and curated data layers and integrate data from enterprise systems, Data Lake, and Oracle Data Warehouse environments.
  • Design Customer 360 models and identity resolution solutions using deterministic and probabilistic matching and survivorship rules.
  • Develop and optimize production data pipelines with SQL, Python, Airflow, and dbt.
  • Establish data quality, reconciliation, metadata management, lineage, security, governance, and compliance frameworks, including KSA data residency and PDPL requirements.
  • Design Power BI semantic models with RLS/OLS, support Dynamics 365 embedded analytics, and lead a team of 6–8 data engineers and developers.

Requirements

  • 10+ years of combined experience in Data Engineering and Data Architecture.
  • 3+ years of hands-on GCP experience, including BigQuery, Cloud Storage, Dataflow, Cloud Run or GKE, IAM, and cloud networking.
  • Strong SQL and Python skills with proven experience building production-grade data pipelines; production experience with Apache Airflow and dbt.
  • Strong understanding of Lakehouse architecture, data modeling, and enterprise data integration.
  • Hands-on experience designing Customer 360 solutions and implementing identity resolution techniques.
  • Experience with data quality frameworks, reconciliation, metadata management, data lineage, Power BI semantic models, RLS/OLS, and Dynamics 365 integration.
  • Understanding of data security, encryption, audit logging, and regulatory compliance.
  • Experience with banking or insurance data, including customers, policies, claims, or providers.
  • Proven experience leading technical teams of 6–8 engineers; English proficiency at B2 level or higher is required.
  • Must currently be based in Saudi Arabia with valid work authorization and be willing to work on-site in Riyadh for the initial 3-week Discovery phase, then follow a hybrid model.

Nice to have

  • Experience with BigQuery ML, Vertex AI, or Gemini.
  • Familiarity with Saudi Arabia’s PDPL and data residency regulations.
  • Experience with sensitive or restricted medical or financial data.
  • Arabic language proficiency.

Culture & Benefits

  • Long-term project contributing to a large-scale financial-sector data transformation initiative.
  • Hands-on technical leadership and ownership of key architectural decisions in an international working environment.
  • Flexible working schedule with remote work or work from one of the company offices after the initial on-site phase.
  • 20 business days of covered vacation, 5 sick leave days, and 3 additional days off.
  • Free English classes, legal support, and a friendly, supportive atmosphere.
  • Medical insurance is available for employees from Ukraine.

Будьте осторожны

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