Lead the design and construction of a next-generation data warehouse optimized for improved efficiency, performance, and massive scale.
Build and maintain robust data pipelines for real-time ingestion from large-scale production transactional databases containing hundreds of millions of rows.
Develop real-time data transformation layers to ensure the data warehouse reflects live business activity, enabling "up-to-the-minute" analytics for our ecosystem.
Partner with the Senior Data Product Manager to define, evangelize, and execute a data roadmap that meets both internal and external customer needs.
Research and select appropriate technical solutions, coordinate delivery with dedicated agile teams, and champion engineering best practices.
Rigorously test and validate data integrity, establishing and measuring success metrics for system performance and data reliability.
Work closely with stakeholders to develop technical business cases for new initiatives, ensuring alignment across the development organization.

Requirements

5+ years of data engineering experience in a high-growth SaaS environment.
Expert-level experience with message brokers and streaming platforms such as Apache Kafka, Amazon Kinesis, or Google Pub/Sub to manage high-throughput transactional data.
Proficiency with real-time and batch transformation tools, specifically dbt (data build tool) for managing Snowflake logic and Apache Flink or Spark Streaming for in-flight processing.
Deep architectural knowledge of Snowflake, including experience with Snowpipe for continuous ingestion, streams, and tasks for change data capture (CDC).
Strong understanding of schemas and data pipelines, with specific experience extracting data from large-scale relational databases (Postgres/MySQL) via CDC tools like Debezium.
Mastery of SQL and Python for building automated, scalable data movement and transformation workflows.
Proven experience designing and maintaining Data APIs to expose warehouse insights to external or internal customers.
Familiarity with business intelligence tools such as Looker.
Exceptional ability to synthesize complex technical concepts and communicate them clearly to stakeholders, including the Senior Data Product Manager and executive leadership.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data engineeringreal-time data transformationdata pipelinesSQLPythonApache KafkaAmazon KinesisGoogle Pub/SubSnowflakedbt

Soft Skills

communicationstakeholder engagementsynthesis of technical conceptscollaborationleadership