About The Position

As Data Engineering Team Leader, you will manage the data engineers on our data team.

You’ll influence every decision-making process, making this a crucial role in the company. You’ll ensure that members of various departments gain much-needed insight into different data sources that touch upon every aspect of our product, from user behavior to new feature adoption, operational, financial, and marketing KPIs, and more. You’ll work closely with members of different departments to understand their business and data needs.

Responsibilities

• Lead and manage a team of data professionals
• Design and build out our next-generation data platform, emphasizing data quality, speed of execution, and cost optimization
• Implement best-in-class solutions for different use cases while applying industry standards and best practices
• Utilize a combination of cloud-based and open source tools and frameworks to solve our most complex data problems
• Develop tailormade solutions as part of the data pipelines
• Implement data pipelines and data architecture that are scalable, fault-tolerant, and support high throughput and low latency, while considering security aspects at all times
• Consider cost optimization (FinOps) at all stages of implementation

Requirements

• 6+ years of industry experience in data engineering - a must
• At least 2 years of experience as a team lead managing 3+ people
• Able to lead complex projects and build data platforms from scratch
• Extensive experience in big data architectures at scale in the cloud (AWS | GCP) - a must
• Familiar with off-the-shelf ETL tools (like Matillion, Stitch, Fivetran) and orchestration frameworks (like Airflow, AWS AppFlow, AWS Step Functions & data pipelines, AWS Glue, GCP Cloud Composer & Dataflow) - a must
• Experience with near real-time data streaming solutions (different types of queueing and streaming, Pub/Sub paradigms, Kafka, AWS SNS / SQL, Kinesis Data Firehose & streams, GCP Cloud Pub/Sub & Dataflow) - an advantage
• Hold relevant certification in big data architecture in one or more of the public clouds (AWS Solution Architect / Big Data | GCP Data Engineer) - an advantage
• Accustomed to talking to internal stakeholders to understand their needs and build best-in-class data architecture to solve their problems while meeting company needs for the short and medium-term