Join our team as a Senior Data Engineer to architect and build robust data frameworks for Operational Data Store and Enterprise Data Lake Platforms. You will lead the full lifecycle of data engineering projects, from requirement gathering to production deployment, using Python, Airflow, DBT, and databases like Snowflake. Your responsibilities include designing complex data transformations, maintaining automated workflows with Apache Airflow, and ensuring high standards through CI/CD implementation in GitHub. You will also work closely with Analytics, Sales, and Marketing teams to build curated datasets for strategic decision-making. Ideal candidates have 3+ years of experience in scripting languages like Python, Cloud database expertise such as Snowflake or Redshift, and deep knowledge of marketing data domains including campaign performance and revenue attribution models. Advanced proficiency in DBT lifecycle processes and CI/CD tools is essential, along with the ability to integrate business data from enterprise applications into semantic layers for analytics and insights.
Lead the full lifecycle of data engineering projects from requirements to production deployment.
Design and maintain complex data transformations using Python, Airflow, DBT, and Snowflake.
Build automated workflows with Apache Airflow to manage sophisticated data dependencies.
Implement CI/CD processes for rigorous version control and high engineering standards.
Act as a technical partner to build curated datasets driving strategic decision-making.
Ensure high data quality through automated validation processes across all pipelines.
What we're looking for
3+ years of experience in designing and developing complex data automation frameworks using Python, SQL, DBT, and Apache Airflow.
Deep expertise in cloud databases like Snowflake for rapid ingestion and dissemination of key marketing data.
Strong background in architecting scalable DBT projects with advanced modeling techniques and modular structures.
Proficiency in implementing CI/CD processes and maintaining rigorous version control using GitHub or similar tools.
Experience in integrating business data from enterprise applications into semantic layers to enhance analytics and insights.
Hands-on experience working with marketing datasets, including campaign performance, lead funnels, opportunity pipelines, and revenue attribution models.
Bachelor's degree in Computer Science, Information Technology, or a related field; or equivalent work experience.
Market check
Salary context
This
$85,000–$120,000
range sits above
5%
of similar postings on FindRole.
Peer median band
$132,000–$204,700
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$126,800–$211,200
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
Employer
About CrowdStrike
CrowdStrike is a leading American cybersecurity technology firm, specializing in cloud-native endpoint protection, threat intelligence, and incident response.
CrowdStrike currently has
15 open roles
on FindRole.
Listed pay typically runs
$125,000–$180,000
across 15 roles with salary data.