Senior Software Engineer - AVP

As a Senior Software Engineer - AVP at Arena, you will be responsible for collaborating closely with the CTO to design and implement the firm's data warehouse and business intelligence systems. Your role includes optimizing ETL processes, developing data pipelines, and managing reporting frameworks. Moreover, you'll lead and mentor a team of data developers, ensuring best practices are followed in every project.

To qualify for the Senior Software Engineer - AVP position at Arena, candidates should have a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Additionally, 10+ years of experience in data development, including at least 3 years in a leadership role, is required. Advanced expertise with Microsoft SQL Server and familiarity with cloud technologies are also vital.

Arena values growth and development. As a Senior Software Engineer - AVP, you will have the chance to engage in innovative projects, lead a team, and explore advanced methodologies like ML/AI. The environment encourages learning and promotes the adoption of new techniques that are beneficial both for your career and the company.

In your position as a Senior Software Engineer - AVP at Arena, you will primarily work with Microsoft SQL Server and related tools for data transformation. Knowledge of analytics and reporting frameworks like Power BI or Tableau will be essential. Familiarity with cloud-based solutions such as Snowflake and databases like AWS Redshift will also support your projects.

At Arena, as a Senior Software Engineer - AVP, you'll find a collaborative and dynamic team environment. The company promotes open communication, where you'll be encouraged to take ownership of your projects while working closely with colleagues across various functional groups, including asset management and operations.

When preparing to answer this question, focus on specific projects where you've designed or worked with data warehousing solutions. Highlight your approach to integrating various data sources and how you ensured data cleanliness and accessibility for business users.

Your answer should include your method for identifying bottlenecks in the ETL process. Discuss specific tools you use, like SQL Server Integration Services, and emphasize your focus on maintaining data integrity and improving performance.

When discussing mentoring, share examples of how you've guided team members, conducted code reviews, and ensured adherence to best practices. Illustrate how your leadership style promotes growth and collaboration.

For this question, provide specific instances where you've implemented machine learning techniques. Discuss the problem you aimed to solve and the impact of using ML on the analysis and reporting processes.

Share a detailed narrative of a challenging scenario, emphasizing how you navigated obstacles. Discuss your strategy for stakeholder communication and how you achieved a successful integration outcome.

Discuss the cloud technologies you've experienced with, such as Snowflake or AWS Redshift. Explain your approach to utilizing these platforms for data management and analytics, and share how it benefited your previous employers.

When answering, delve into your proficiency with T-SQL, discussing how you write complex queries and what they achieve. Highlight a specific instance where your SQL skills had a significant impact on a project.

Your response should cover specific techniques you use to validate data, like employing automated tests or manual checks, and how you foster a culture of data accuracy within your team.

Discuss your experience with Agile/Scrum processes and how they enhance collaboration in data projects. Share an example of how Agile practices led to a successful project outcome.

Highlight your ability to simplify technical jargon and present data concepts in a relatable manner. Provide an example where clear communication resulted in better project alignment with business goals.