Data Engineering Lead

Team: IT

Location: US

Commitment: Full-time

Workplace Type: remote

Accountabilities

As a Data Engineering Lead, you will oversee technical delivery and guide the development of enterprise-grade data engineering solutions. Your responsibilities will include:

• Lead the architecture, design, and development of scalable data pipelines using AWS Glue, EMR, S3, Python, and PySpark.

• Drive enterprise data integration initiatives and the implementation of ETL/ELT workflows.

• Lead the development of reliable, scalable, and reusable data products.

• Define and maintain engineering standards, best practices, and development guidelines.

• Conduct technical design reviews and code reviews to ensure solution quality and consistency.

• Optimize data pipelines for performance, data quality, processing efficiency, and scalability.

• Mentor and guide Data Engineers, supporting their technical development and delivery.

• Collaborate with architecture, technology, and business teams to align data engineering solutions with enterprise objectives.

Requirements

The ideal candidate combines strong hands-on AWS data engineering expertise with proven technical leadership experience. You should demonstrate:

• Strong experience in AWS data engineering, particularly Amazon S3, AWS Glue, and Amazon EMR.

• Proficiency in Python, PySpark, SQL, and ETL/ELT development.

• Expertise in designing, developing, and optimizing large-scale data pipelines.

• Solid experience with enterprise data integration and complex data engineering environments.

• Proven ability to provide technical leadership, establish engineering standards, and conduct code and design reviews.

• Experience mentoring and guiding data engineering teams.

Preferred Qualifications:

• Experience with Amazon Redshift, Athena, and DynamoDB.

• Knowledge of Apache Iceberg and modern data lake or lakehouse architectures.

• Familiarity with domain-oriented data products and authoritative data sources.

• Exposure to large-scale enterprise data platform modernization initiatives.

Benefits

• Permanent remote working model, with flexibility to work from anywhere within the eligible employment location.

• Flexible working arrangements adapted to individual, customer, and business needs.

• Potential for part-time schedules and working hours outside the traditional 9-to-5 framework.

• Welcome Back Program supporting individuals returning to work after an extended absence due to health or family circumstances.

• Inclusive and diverse working environment that values different perspectives and individual contributions.

• Opportunities to make a meaningful impact, develop your expertise, and grow professionally.