Salary
💰 $140,000 - $170,000 per year
Tech Stack
AirflowAmazon RedshiftAWSCloudKafkaPythonSQL
About the role
- Lead Data Engineer responsible for leading our Data Architecture and Data Engineering strategy and execution to deliver world class solutions that run our business today and scale for the future.
- Provide technical leadership and mentorship to a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.
- Design, implement and automate data pipelines using Snowflake, AWS, Python, Airflow, and Stored Procedures
- Design, model and implement data warehouses on the Snowflake platform.
- Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet evolving business needs.
- Lead by example with commitment to excellence, integrity, and professionalism.
- Weave Data Quality into every aspect of our data architecture.
- Build and maintain data pipelines and data architectures that scale for the future.
Requirements
- Minimum 10 years hands-on experience in data engineering with a minimum of 4 years in a lead role.
- Bachelor Degree or equivalent experience in Data Engineering or Computer Science
- Unimpeachable technical knowledge in Data Engineering and Architecture
- Strong hands-on experience with data infrastructure technologies such as Airflow, Fivetran, Kafka, dbt, and modern data warehouses (e.g., Snowflake, Databricks, and Redshift).
- Proficiency in Python, SQL, and data modeling techniques.
- Experience with AWS cloud platform.
- Deep understanding of data architecture, pipelines, warehousing, and real-time data streaming.
- Proven leadership and team management abilities
- Strategic thinking and ability to align Data with business goals
- Understanding of industry regulations and compliance requirements
- Soft skills: Critical thinking, adaptability, communication, and integrity.