6 дней назад
Data Engineering Technical Lead - VP (Databricks)
125 000 - 150 000$
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
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 account with self-directed trading.
- Employment is subject to credit, criminal background, and pre-employment drug screening.
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