2 дня назад
VP, Data Engineering Technical Lead (AI)
125 000 - 150 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 account with self-directed trading.
- Employment is subject to credit, criminal background, drug screening, and U.S. employment eligibility verification.
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