Responsibilities

The Lead Software Engineer will lead the development of a new team responsible for delivering innovative, data-centric products. Reporting directly to the Director of Engineering, this role will provide both technical leadership and team management, focusing on building, mentoring, and coaching a high-performing engineering team. The role involves working with structured and unstructured data, developing data pipelines, and ensuring the successful delivery of end-to-end data products. The ideal candidate has expertise in data engineering, advanced analytics, and experience in cloud-native environments with a strong focus on Azure DevOps and CI/CD practices.

Accountabilities:

• Build and lead a high-performing development team with direct reports.
• Lead the design and development of data-focused software products using modern data platforms and technologies.
• Collaborate closely with program stakeholders to ensure alignment with strategic objectives and product goals.
• Collaborate closely with the architecture team on design, implementation, and testing.
• Guide the development of data processing pipelines, ensuring scalability, reliability, and security across different types of data.
• Oversee the implementation of CI/CD pipelines to streamline the development lifecycle.
• Drive continuous improvement in team performance through mentoring, coaching, and fostering a collaborative environment.
• Lead the adoption of best practices in software development, data management, and engineering processes.

• Experience building and leading software engineering teams from the ground up.
• Proven ability to mentor, coach, and develop junior and senior engineers.
• Strong communication and leadership skills with the ability to collaborate cross-functionally.

• Experience using Databricks for big data processing and analytics.
• Proficient in Python and Spark for data processing, with strong SQL skills for querying and managing databases.
• Experience with C# for developing and maintaining data-driven applications.
• Familiarity with various ETL techniques (e.g., batch processing, stream processing, data integration) and examples of implementing these to transform and move data efficiently.
• Experience working with both structured data (e.g., relational databases, CSVs) and unstructured data (e.g., JSON, logs).
• Experience with data normalization, cleaning, and transformation processes.

• Strong experience with continuous integration and continuous delivery (CI/CD) pipelines to automate testing, deployment, and monitoring processes.
• Expertise with Azure DevOps for managing code repositories, building, and deploying solutions in cloud environments.

• Hands-on experience developing data analytics solutions, including real-time analytics and batch processing.
• Experience with data visualization tools (e.g., Power BI, Tableau) to interpret and present data insights.

• Degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in software engineering, with at least 2 years in a leadership role focused on data products and analytics.
• Intermediate knowledge of required programming languages.
• Effective verbal and written communication skills; effective customer service skills.
• Ability to work independently or within a team environment and handle multiple projects simultaneously.