Remote Lead Data Engineer - Big Data Solutions

About the Role

Our client is seeking an experienced and forward-thinking Lead Data Engineer to build and manage robust big data solutions , working entirely remotely . You will lead the design, development, and maintenance of scalable data pipelines, ensuring data quality, accessibility, and performance for analytics and machine learning initiatives. This role is critical for establishing data architecture best practices, mentoring a team of data engineers, and empowering the organization with reliable data insights. If you are passionate about architecting and optimizing data infrastructure in a cloud-native environment, this remote leadership opportunity is ideal.

Key Responsibilities

• Lead the design, development, and optimization of scalable data pipelines and ETL/ELT processes using cloud technologies (e.g., AWS, Azure, GCP).
• Architect and implement robust data warehousing and data lake solutions to support diverse analytical needs.
• Ensure data quality, integrity, and security across all data platforms.
• Mentor and guide a team of data engineers, promoting best practices in coding, testing, and deployment.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver effective solutions.
• Implement monitoring, alerting, and performance tuning for data infrastructure.

Requirements

• 6+ years of professional experience in data engineering , with a focus on building and managing large-scale data platforms.
• Strong proficiency with cloud data services (e.g., AWS S3, Redshift, Glue; Azure Data Factory, Synapse; GCP BigQuery, Dataflow).
• Expertise in SQL, Python, and big data processing frameworks like Spark.
• Experience with data modeling, warehousing concepts, and ETL/ELT best practices.
• Proven leadership experience and excellent communication skills for a remote team environment.

Benefits

• Highly competitive salary and performance-based incentives.
• Full-time, fully remote position with global flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous professional development budget for conferences and training.
• Opportunity to shape the data architecture of a rapidly growing company.