Lead Software Engineer - Data Solutions

Key Skills

Amazon RedShift, AWS, Big Data Technology, Data Analytics, Data Modeling, Data pipelines, Data science techniques, Data Warehousing, Effective communication skills, Google BigQuery, Java Programming, Leadership Skill, Management, Python Programming, Scala Programming

Job Description

We are seeking an experienced and highly skilled Lead Software Engineer to join our data team at RadiusAI. The ideal candidate will have a strong background in data engineering, leadership, and a passion for building scalable data infrastructure. As a Lead Software Engineer, you will oversee the design, implementation, and maintenance of our data pipelines, ensure data quality, and lead a team of data engineers to deliver high-quality data solutions.

Key Responsibilities:

• Lead and mentor a team of data engineers, providing guidance and support in their daily tasks and professional development.

• Design, develop, and maintain scalable and robust data pipelines and ETL processes.

• Implement best practices for data governance, data quality, and data security.

• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs.

• Optimize and manage data storage solutions, including data warehouses, data lakes, and databases.

• Ensure the reliability, availability, and performance of data infrastructure.

• Develop and maintain documentation for data engineering processes and systems.

• Stay up-to-date with industry trends and emerging technologies in data engineering, and integrate relevant advancements into the data strategy.

• Troubleshoot and resolve issues related to data pipelines and infrastructure.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

• 7+ years of experience in data engineering or a related field.

• Proven experience in designing and implementing large-scale data pipelines and ETL processes.

• Strong expertise in SQL and experience with programming languages such as Python, Java, or Scala.

• Extensive experience with data storage solutions, such as data warehouses (e.g., Snowflake, Redshift, BigQuery), data lakes, and relational databases.

• Experience with data pipeline orchestration tools like Apache Airflow or similar.

• Familiarity with big data technologies such as Spark, and Kafka.

• Strong understanding of data modeling, data warehousing, and database design principles.

• Excellent leadership and team management skills.

• Strong problem-solving abilities and attention to detail.

• Exceptional communication and collaboration skills.

Preferred Qualifications:

• Master’s degree in Computer Science, Engineering, or a related field.

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.

• Knowledge of data governance frameworks and best practices.

• Experience with machine learning and data science workflows.

• Certification in relevant technologies (e.g., AWS Certified Big Data – Specialty).

This role demands a balance of advanced technical skills, leadership capabilities, and a strong understanding of data engineering principles to ensure the effective operation and continuous improvement of our data infrastructure.