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8 дней назад

Technical Lead Data

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Mexico/Canada
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
Technical Lead Data (Databricks/Spark): Leading mixed squads of data engineers and building production data pipelines for priority initiatives within Marsh’s Innovation & Data Office with an accent on hands-on engineering, cloud data platforms, and maintainable architecture. Focus on designing medallion architectures, solving complex data quality and pipeline problems, and translating business requirements into reliable data solutions.

Location: Mexico City, Mexico or Toronto, Canada; hybrid work with at least three days per week in the local office or onsite with clients

Company

Marsh is a global risk, reinsurance, capital, people and investments, and management consulting organization serving clients in 130 countries.

What you will do

  • Lead a delivery squad of 4–8 data engineers, including employees and contractors.
  • Set technical direction, decompose work, manage sprint execution, and own squad delivery.
  • Design data models, medallion architectures, ingestion contracts, and reusable engineering patterns.
  • Build and debug production pipelines using SQL, Python, and Spark.
  • Partner with Engagement Leads and business stakeholders to translate business needs into data solutions.
  • Establish standards for CI/CD, version control, testing, code review, documentation, and operational excellence.

Requirements

  • 5+ years of hands-on data engineering experience, including experience leading or mentoring engineers.
  • Strong recent proficiency in SQL, Python, and Spark.
  • Experience with cloud data platforms on AWS, Azure, or GCP; Databricks experience is strongly preferred.
  • Experience leading mixed teams of employees and contractors.
  • Fluency with Git, CI/CD, automated testing, infrastructure-as-code, and DataOps.
  • Clear communication skills for working with both business leaders and engineers.

Nice to have

  • Experience with Databricks Unity Catalog, Delta Lake, medallion architecture, and Databricks Workflows.
  • Experience with dbt or similar transformation frameworks.
  • Knowledge of data lineage, access controls, metadata management, and data quality frameworks.
  • Background in financial services, insurance, benefits, or consulting.
  • Experience with unstructured data ingestion, LLM-based tooling, AI-assisted development, or analytics engineering.

Culture & Benefits

  • Hybrid work combines remote flexibility with office collaboration and professional development.
  • At least three days per week are expected in the local office or onsite with clients.
  • Marsh promotes a diverse, inclusive, and flexible work environment.
  • Office-based teams establish at least one weekly anchor day for in-person collaboration.

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