Start Date
Immediate
Expiry Date
23 Dec, 26
Salary
55000.0
Posted On
24 Sep, 26
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Industry
Information Technology & Services
About the Role:
We are looking for a Lead Data Engineer to design, scale, and own the data architecture that processes millions of events daily across a high-traffic consumer rewards app and digital advertising network. In addition to driving deep technical excellence, you will build, hire, and lead a high-performing data engineering team from the ground up. If you are a deeply technical leader who thrives on building scalable systems zero-to-one and mentoring top engineering talent, this is your next high-impact role.
Responsibilities:
Leadership & Team Building . Hire, mentor, and lead a world-class team of data engineers.. Define the technical roadmap, set data engineering standards, and establish best practices across the organization.
Architecture & Scalability . Take platform challenges from zero-to-one.. Design and build scalable integrations across product, payment, advertising, and partner systems pulling data from APIs, databases, events, and webhooks.
End-to-End Pipeline Ownership . Own data flows bi-directionally—managing high-throughput ingestion into modern cloud warehouses as well as reverse ETL pipelines into operational tools.
Real-Time Data Processing . Build event-driven, high-frequency ingestion systems capable of processing real-time and asynchronous streams at volume.
Data Modeling & Governance . Model and transform complex datasets using dbt to create clean, reusable, and trusted data structures for downstream analytics and ML.
Infra & DevOps . Ship cloud infrastructure as code (IaC) and maintain CI/CD pipelines.. Own services end-to-end, from API design to automated deployment and monitoring.
Observability & Cost Management . Establish robust systems to monitor failure rates, data freshness, latency, and quality while optimizing cloud infrastructure costs.
What We’re Looking For:
Proven Leadership: Experience mentoring engineers and a strong desire or proven ability to recruit, grow, and lead a data engineering function.
Production Mastery : Extensive background operating high-reliability, large-scale data platforms in production environments.
Core Technical Skills: Mastery of Python, advanced SQL, data modeling, incremental processing, and schema evolution.
Cloud & Warehouse Expertise: Strong hands-on experience with modern cloud data warehouses (Snowflake, BigQuery) and AWS/GCP platforms.
Software Engineering Fundamentals: Solid foundation in Git, Docker, CI/CD, testing, and Infrastructure as Code (Terraform).
Transformation & Ingestion: Proficiency with dbt (or similar transformation frameworks) and experience managing event-driven architectures, APIs, and partner webhooks.
Mindset: Pragmatic approach with a bias toward simple, scalable solutions; excellent communication skills; and high operational ownership.
Nice-to-Have:
About the Role:
We are looking for a Lead Data Engineer to design, scale, and own the data architecture that processes millions of events daily across a high-traffic consumer rewards app and digital advertising network. In addition to driving deep technical excellence, you will build, hire, and lead a high-performing data engineering team from the ground up. If you are a deeply technical leader who thrives on building scalable systems zero-to-one and mentoring top engineering talent, this is your next high-impact role.
Responsibilities:
Leadership & Team Building . Hire, mentor, and lead a world-class team of data engineers.. Define the technical roadmap, set data engineering standards, and establish best practices across the organization.
Architecture & Scalability . Take platform challenges from zero-to-one.. Design and build scalable integrations across product, payment, advertising, and partner systems pulling data from APIs, databases, events, and webhooks.
End-to-End Pipeline Ownership . Own data flows bi-directionally—managing high-throughput ingestion into modern cloud warehouses as well as reverse ETL pipelines into operational tools.
Real-Time Data Processing . Build event-driven, high-frequency ingestion systems capable of processing real-time and asynchronous streams at volume.
Data Modeling & Governance . Model and transform complex datasets using dbt to create clean, reusable, and trusted data structures for downstream analytics and ML.
Infra & DevOps . Ship cloud infrastructure as code (IaC) and maintain CI/CD pipelines.. Own services end-to-end, from API design to automated deployment and monitoring.
Observability & Cost Management . Establish robust systems to monitor failure rates, data freshness, latency, and quality while optimizing cloud infrastructure costs.
What We’re Looking For:
Proven Leadership: Experience mentoring engineers and a strong desire or proven ability to recruit, grow, and lead a data engineering function.
Production Mastery : Extensive background operating high-reliability, large-scale data platforms in production environments.
Core Technical Skills: Mastery of Python, advanced SQL, data modeling, incremental processing, and schema evolution.
Cloud & Warehouse Expertise: Strong hands-on experience with modern cloud data warehouses (Snowflake, BigQuery) and AWS/GCP platforms.
Software Engineering Fundamentals: Solid foundation in Git, Docker, CI/CD, testing, and Infrastructure as Code (Terraform).
Transformation & Ingestion: Proficiency with dbt (or similar transformation frameworks) and experience managing event-driven architectures, APIs, and partner webhooks.
Mindset: Pragmatic approach with a bias toward simple, scalable solutions; excellent communication skills; and high operational ownership.
Nice-to-Have:
Linked-in
Google