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2 дня назад

VP, Data Engineering Technical Lead (AI)

125 000 - 150 000$
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

Текст:
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TL;DR
VP, Data Engineering Technical Lead (AI/Data Platform): Modernizing legacy ETL systems into a cloud-native Lakehouse platform with an accent on scalable data pipelines, reusable 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 discretionary annual cash and restricted stock unit bonus targets of 10% each.

Company

hirify.global is a digital-first financial services company providing technology-driven money management tools 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.
  • Define reusable data design patterns and standardized ingestion, transformation, curation, and consumption frameworks for the enterprise Lakehouse.
  • Build proofs of concept and points of view to evaluate technologies such as Delta Live Tables, Iceberg, streaming ingestion, and AI-driven observability.
  • Use Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, testing, documentation, and pipeline optimization.
  • Apply ML to detect pipeline anomalies and data drift, and optimize compute and scheduling.
  • Drive CI/CD, version control, peer reviews, observability, performance optimization, and technical mentoring across the data platform.

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 data patterns such as CDC, SCD, Medallion, Data Vault, streaming, and batch architectures.
  • Deep expertise with Databricks, Apache Spark, dbt, Fivetran, Census, Airflow, Kafka, and Azure and/or GCP services.
  • Hands-on experience modernizing legacy ETL workloads and building POCs or POVs for new tools, frameworks, and architectures.
  • Proficiency in SQL and Python, Scala, or Java, plus working knowledge of AI-assisted engineering tools.
  • Strong architectural thinking, problem-solving, collaboration, and communication skills.

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) retirement savings plan with employer match and a 529 savings plan.
  • Employee mortgage loan program and free access to an hirify.global account with self-directed trading.
  • Employment is subject to credit, criminal background, drug screening, and U.S. employment eligibility verification.

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