Senior Software Engineer, Real-Time Reporting Engine

About Command|Link

Command|Link is a global SaaS Platform providing network, voice services, and IT security solutions, helping corporations consolidate their core infrastructure into a single vendor and layering on a proprietary single pane of glass platform. Command|Link has revolutionized the IT industry by tackling the problems our competitors create. In recognition for our unprecedented innovation and dedication, Command|Link was recognized as the SD-WAN Product of the Year, ITSM Visionary Spotlight, UCaaS Product of the Year, NaaS Product of the Year, Supplier of the Year, and the AT&T Strategic Growth Partner. Command|Link has built the only IT platform for scale that solves ISP vendor sprawl and IT headaches. We make it easy for our customers to get more done, maximize uptime and improve the bottom line.

Learn more about us here!

About your new role:

As a Senior Software Engineer and Data Architect, you will be instrumental in designing and building a real-time, scalable, and customizable reporting system that empowers users to interact with and analyze business-critical data instantly. You will lead the architecture and development of this system, integrating it into our current Azure-based, Python, PHP, and MariaDB ecosystem. This is a high-impact role where you’ll work cross-functionally to ensure that our reporting tools deliver fast, accurate insights with an intuitive user experience.

This is a 100% Remote, Full-Time opportunity.  

Key Responsibilities:

Architect and Develop the Reporting System:

• Design and implement a real-time reporting engine that can support complex queries and large data volumes across various business areas.
• Create a flexible, scalable data infrastructure that can handle dynamic report generation and ad-hoc queries efficiently.

Data Pipeline and Integration:

• Lead the design and optimization of ETL pipelines to collect, process, and analyze data from multiple sources.
• Develop and maintain a metadata-driven data model to allow for dynamic schema mapping and real-time reporting.

Performance and Scalability Optimization:

• Build a high-performance data architecture capable of handling concurrent reporting queries without latency issues.
• Ensure scalability to support growing data volumes, complex analytics, and reporting demands, leveraging best practices in cloud architecture.

User-Centric Reporting Features:

• Develop customizable reporting templates, dashboards, and visualizations that meet user needs for flexible data slicing and analysis.
• Integrate self-service and drill-down capabilities to enable users to explore data and derive insights independently.

Collaboration and Leadership:

• Collaborate with stakeholders across product, data, and engineering teams to understand reporting requirements and translate them into technical specifications.
• Mentor and lead other engineers in best practices for data architecture, reporting, and analytics.

What you'll need for success

• 5+ years of experience in software engineering with a focus on data engineering or architecture.
• Proven experience in building real-time or near-real-time data processing/reporting systems.
• Strong background in cloud platforms, ideally with Azure; experience with Azure services like Data Lake, Synapse, or CosmosDB is a plus.
• Advanced Python, PHP, and SQL skills, with experience in data manipulation and database design.
• Proficiency with MariaDB or similar relational databases; familiarity with NoSQL databases and data warehousing is advantageous.
• Strong understanding of ETL frameworks and data pipeline tools (e.g., Apache Airflow, Azure Data