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Lead, Arch Solutions (Azure Data Engineering)

114 500 - 194 700$
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, Arch Solutions (Azure Data Engineering): Designing and operating secure, scalable Azure data solutions and production-ready data products with an accent on Azure Data Factory, Databricks, Data Lake Storage Gen2, Spark, Python, and SQL. Focus on building batch and near-real-time pipelines, lakehouse and warehouse models, reusable metadata-driven frameworks, automated testing, CI/CD, and infrastructure as code.

Location: Chicago, IL, United States

Salary: $114,500–$194,700 USD per year

Company

hirify.global provides wealth management, asset servicing, asset management, and banking services to individuals, families, corporations, and institutions worldwide.

What you will do

  • Translate business requirements into functional and non-functional data requirements with business, architecture, analytics, security, and engineering stakeholders.
  • Design and implement scalable batch and near-real-time pipelines for ingesting, transforming, validating, and publishing structured and unstructured data.
  • Build cloud-native Azure data solutions using Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Spark, Python, SQL, and Delta Lake.
  • Develop lakehouse and data warehouse solutions using Bronze, Silver, and Gold layers, dimensional models, normalized models, and Data Vault techniques.
  • Create reusable metadata-driven frameworks, parameterized pipelines, data-quality practices, and automated unit, integration, regression, and validation tests.
  • Implement CI/CD and infrastructure-as-code practices for repeatable deployments across development, testing, and production environments.

Requirements

  • Proven experience designing, developing, and supporting enterprise-grade Azure data pipelines and analytics platforms.
  • Hands-on expertise with Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, Delta Lake, Python, PySpark, and SQL.
  • Strong knowledge of ETL and ELT, distributed processing, orchestration, incremental loading, change data capture, schema evolution, and performance tuning.
  • Experience with relational, dimensional, and lakehouse modeling, including star schemas and conformed dimensions.
  • Experience with Oracle, PostgreSQL, Azure SQL, Snowflake, or equivalent relational, analytical, columnar, and NoSQL technologies.
  • Applicants must be authorized to work in the United States without employment-based visa sponsorship; visa sponsorship is not available.

Nice to have

  • Experience with Git-based development, Azure DevOps, GitHub Actions, Jenkins, Terraform, Bicep, ARM templates, or equivalent tools.
  • Experience working in Agile delivery environments, including estimation, design reviews, code reviews, release planning, and production support.

Culture & Benefits

  • Flexible and collaborative work culture with opportunities for internal movement and access to senior leaders.
  • Retirement benefits including 401(k) and pension, health and welfare benefits, and spending accounts.
  • Paid time off, parental and caregiver leave, life and accident insurance, and well-being benefits.
  • Discretionary bonus program that may include an equity component.
  • Inclusive workplace with community philanthropy and reasonable accommodation support.

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