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4 дня назад

Principal Data Engineer (Databricks & AI Platform)

Формат работы
remote (только India)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Data Engineer (Databricks & AI Platform): Owning and evolving a Databricks Lakehouse platform and AI-ready data infrastructure with an accent on Unity Catalog, Delta Lake, Spark performance, and scalable medallion architecture. Focus on designing platform standards, building reusable ETL frameworks, leading legacy migrations, and driving AI-assisted tooling adoption across Data teams.

Location: Bangalore, Karnataka, India

Company

hirify.global builds remote work technology and flexible workplace solutions, using AI to deliver practical value for customers and teams.

What you will do

  • Own the architecture and multi-year roadmap for the Databricks data platform, including Unity Catalog, Delta Lake, cluster configuration, and workflow orchestration.
  • Design scalable medallion lakehouse architectures, data pipelines, and AI-ready datasets for GenAI and ML use cases.
  • Set and enforce standards for data quality, security, access control, infrastructure as code, and CI/CD.
  • Tune Spark jobs and clusters for performance and cost, and build reusable ETL frameworks and platform components.
  • Lead migrations from legacy data platforms to Databricks, including data modeling and pipeline redesign.
  • Mentor senior engineers, troubleshoot production issues, and drive adoption of spec-driven development and agentic AI tooling.

Requirements

  • 12+ years of data engineering experience, including 3+ years of hands-on production experience with Databricks.
  • Deep expertise in Unity Catalog, Delta Lake, Spark performance tuning, and medallion or lakehouse architectures.
  • Strong SQL and Python skills.
  • Experience with AWS, Azure, or GCP, infrastructure-as-code tooling, and CI/CD for data pipelines, including Databricks Asset Bundles.
  • Experience leading technical decisions, mentoring engineers, and communicating across engineering, analytics, and business stakeholders.
  • Experience rolling out AI agents or AI-assisted tooling across an engineering team.

Nice to have

  • Experience with Airflow or dbt.
  • Experience with Kafka or other streaming and messaging systems.
  • Exposure to GenAI, RAG, or LLM-based data applications.
  • Experience leading a legacy data warehouse migration to Databricks.

Culture & Benefits

  • Comprehensive health benefits and generous paid time off.
  • Paid holidays, volunteer days, quarterly self-care days, and company-designated no-meeting days.
  • Tuition reimbursement and instructor-led and on-demand learning programs.
  • Wellness support through the Thrive Global Wellness Program, EAP, wellness app, and coaching.
  • Employee Resource Groups, employee-led communities, charitable matching, and an inclusive workplace.

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