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1 день назад

VP Cloud Data Analytics Architecture (Azure)

Формат работы
hybrid
Тип работы
fulltime
Грейд
c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
VP Cloud Data Analytics Architecture (Azure): Leading the design and delivery of enterprise cloud data, analytics, machine learning, and AI platforms using Azure and Databricks with an accent on data governance, security, integration, and scalable architecture. Focus on building global data and analytics capabilities, developing pipelines and APIs, and guiding distributed architecture and engineering teams through complex financial-services technology initiatives.

Location: Arlington, TX, United States (Hybrid); three days per week in the office

Company

hirify.global is a public auto-finance company modernizing technology and building global platforms across LATAM, Europe, and China.

What you will do

  • Lead the Enterprise Cloud Data Analytics Architecture, tools, and platforms teams.
  • Design and deliver enterprise cloud data, analytics, machine learning, and AI solutions using Azure and Databricks.
  • Oversee data flows, integrations, pipelines, APIs, microservices, event-driven processes, metadata, lineage, and data quality.
  • Define architecture standards and solutions supporting reporting, data science, marketing, customer experience, finance, and treasury.
  • Scale and manage global Agile teams of AI, machine learning, analytics architects, and full-stack data engineers.
  • Partner with executives, business teams, technology leaders, vendors, and service providers to deliver strategic initiatives.

Requirements

  • 10+ years of experience building enterprise-scale cloud architecture, integrations, and analytics solutions.
  • 7–10 years of experience managing cloud data architecture teams and leading organizations.
  • Expertise in Azure Data Factory, Azure Data Lake, Synapse, Databricks, PySpark, Delta Lake, Cosmos DB, and Service Bus.
  • Expertise in Python, SQL, data pipelines, cloud MDM, CDC, data lineage, metadata management, APIs, web services, and event-driven architecture.
  • Advanced knowledge of cloud data security, governance, data engineering, data DevOps, and data DevSecOps in financial institutions.
  • Bachelor’s degree or equivalent work experience required; master’s degree preferred.

Nice to have

  • Experience with SAS, R, Ruby, Java, or C.
  • Master’s degree in a related field.
  • Experience with AWS, Google Cloud, Informatica, Oracle, Teradata, or DB2.

Culture & Benefits

  • Flexible hybrid work environment with three office days per week.
  • 401(k) matching and a benefits package available from day one.
  • 12 weeks of fully paid bonding leave for new parents.
  • Tuition assistance, training, community service pay, and nine company holidays.
  • GM employee auto discount and eligibility for the company vehicle program.

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