Data Engineer, Go to Market (Remote)
Core
Architecting and building robust data frameworks for Operational Data Store / Enterprise Data Lake Platforms to empower analytics and strategic decision-making for Sales, Marketing, and Analytics teams.
Role type
Senior Data Engineer (Go-to-Market)
Builds
Scalable data pipelines, automated workflows, curated datasets, and semantic layers for business intelligence.
Domain
Cybersecurity / Marketing Data / Enterprise Data Platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Apache Airflow, dbt, Snowflake, CI/CD, data modeling, data quality validation, stakeholder collaboration
Preferred skills
Marketing automation tools (Salesforce, Marketo, People.ai, Outreach), machine learning concepts, feature store support
Technologies
Python, Apache Airflow, dbt, Snowflake, Redshift, GitHub, Jenkins, Gitlab CI/CD, SQL
Responsibilities
Lead full lifecycle of data engineering projects from requirements to deployment; Design and maintain complex data transformations; Build and scale automated workflows; Implement automated data validation processes; Act as technical partner to build curated datasets; Integrate business data into semantic layers.
Seniority
Senior, hands-on IC
