Job Highlights
- Lead and own the full data architecture across our growing platform.
- Design and optimize ETL/ELT pipelines for real-time and batch processing.
- Build scalable data lakes and warehouses using modern cloud-native tools.
- Collaborate with analytics, ML, and product teams to power data-driven decisions.
- Mentor junior engineers and establish best practices for data engineering.
- Drive data quality, governance, and reliability across all data systems.
- Work with cutting-edge tools like Spark, Airflow, dbt, and Snowflake.
- Join a team that values innovation, impact, and continuous improvement.
Job Description
As a Lead Data Engineer, you will be responsible for designing, building, and maintaining the core data infrastructure that powers our analytics and machine learning systems. You will lead a team of engineers, define data architecture strategies, and ensure the reliability and scalability of our data pipelines. This role bridges engineering and analytics — ensuring our data systems are robust, efficient, and aligned with business goals.
Job Responsibilities
- Design and implement scalable data pipelines for ingestion, transformation, and delivery.
- Own the data architecture strategy and ensure alignment with business needs.
- Build and maintain data warehouses, lakes, and real-time streaming systems.
- Optimize query performance and data storage costs.
- Collaborate with data scientists and analysts to deliver high-quality datasets.
- Establish data governance policies, monitoring, and alerting systems.
- Stay updated with emerging data technologies and best practices.
- Mentor and guide junior data engineers on the team.
Job Requirements
Education & Experience:
- Bachelor's degree in Computer Science, Data Engineering, or related field.
- 3+ years of experience in data engineering or a similar role.
Technical Skills:
- Strong proficiency in SQL and Python for data processing.
- Experience with tools like Apache Spark, Airflow, dbt, or Kafka.
- Familiarity with cloud data services (AWS Redshift, GCP BigQuery, Snowflake).
- Knowledge of data modeling, warehousing, and ETL/ELT patterns.
- Experience with CI/CD pipelines and infrastructure-as-code.
Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent communication and leadership skills.
- Proactive mindset toward data quality and reliability.
About Code Gradients
Code Gradients was founded with a simple vision to ensure great ideas are never limited by technology. We're a close-knit team of strategists, designers, and engineers dedicated to turning innovative concepts into impactful digital products.
We go beyond development building long-term relationships grounded in trust, transparency, and a shared drive for excellence.
