Назад
Company hidden
6 дней назад

Data Engineering Technical Lead - VP (Databricks)

125 000 - 150 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead/c_level
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Data Engineering Technical Lead - VP (Databricks): Modernizing legacy ETL systems into a cloud-native Lakehouse platform with an accent on scalable pipelines, reusable data design patterns, and AI-assisted engineering. Focus on validating emerging technologies through POCs and POVs, applying ML for operational intelligence, and optimizing Spark workloads across Azure and GCP.

Location: HQ - San Diego, California, United States

Salary: $125,000–$150,000 per year, plus eligible discretionary cash and restricted stock unit bonus targets of 10% each.

Company

hirify.global provides technology-driven financial tools and services for individuals, small businesses, and companies.

What you will do

  • Modernize SSIS and SSRS workloads into modular, high-performance cloud-native pipelines using Databricks, dbt, Fivetran, and Airflow.
  • Design reusable ingestion, transformation, curation, and consumption patterns for the enterprise Lakehouse.
  • Lead proofs of concept and points of view for technologies such as Delta Live Tables, Iceberg, streaming ingestion, and AI-driven observability.
  • Use AI-assisted tools for code generation, testing, documentation, observability, and pipeline optimization.
  • Apply predictive models to detect pipeline anomalies and data drift while optimizing compute and scheduling.
  • Drive CI/CD, version control, peer reviews, observability, performance tuning, and cost optimization across Azure and GCP.

Requirements

  • Bachelor's degree and 8+ years of experience in data engineering or related technical fields, including 3+ years in a lead or senior role.
  • Experience designing CDC, SCD, Medallion, Data Vault, streaming, and batch data patterns.
  • Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, and Kafka.
  • Experience with Azure and/or GCP services such as Synapse, Data Factory, BigQuery, and Pub/Sub.
  • SQL proficiency and programming experience in Python, Scala, or Java, plus hands-on legacy ETL modernization and POC/POV development.
  • Strong architectural thinking, problem-solving, collaboration, and communication skills for translating technical topics to business stakeholders.

Culture & Benefits

  • Medical, dental, vision, and life insurance may be available.
  • Paid sick leave, three weeks of vacation, and approximately 11 holidays per year.
  • HSA or FSA accounts and other voluntary benefits.
  • 401(k) plan with employer matching and a 529 savings plan.
  • Employee mortgage loan program and access to an hirify.global account with self-directed trading.
  • Employment is subject to credit, criminal background, and pre-employment drug screening.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →