Senior Data Engineer / Data Platform Engineer

About Invyte, Inc
Invyte is an AI-native hiring platform revolutionizing how organizations attract, evaluate, and hire top talent. We combine advanced AI capabilities with human-centered design to streamline recruitment workflows, reduce bias, and accelerate time-to-hire. Our platform empowers teams to make data-driven hiring decisions while maintaining a best-in-class candidate experience.
Job Description
We're seeking a Senior Data Engineer / Data Platform Engineer to design, build, and maintain scalable data platforms and pipelines. You'll work with modern data technologies including Databricks, Snowflake, and Apache Spark to deliver reliable ETL/ELT solutions. Strong experience in one or two of our core platforms is essential, and experience in the financial domain is a significant plus.
Key Responsibilities
Design and implement scalable data platforms and lakehouse architectures using Databricks or Snowflake
Develop and optimize ETL/ELT pipelines using Apache Spark, Python, and SQL
Build data infrastructure on Azure or AWS cloud platforms
Ensure data quality, security, and compliance across all data pipelines and systems
Collaborate with data scientists, analysts, and business teams to understand and deliver data solutions
Mentor junior engineers and contribute to platform best practices and documentation
Qualifications
6–12 years of professional experience in data engineering or data platform development
Strong expertise in one or two platforms: Databricks, Snowflake, or Apache Spark
Proficiency in Python and SQL
Hands-on experience with ETL/ELT design and implementation
Demonstrated experience with Azure or AWS data services
Experience in financial services or fintech domain (preferred but not required)

Work arrangement
No