Roles and Responsibilities:

Senior Data Engineer exists to design, build, and operate scalable data and platform services that

enable Bluebeams products, integrations, and data-driven capabilities. This role supports

Bluebeams connected ecosystem by ensuring that data and cloud platforms are reliable, secure,

and performant, enabling teams to deliver high-quality product experiences and insights. The

Senior Data Engineer accomplishes this by developing cloud-based data platforms, pipelines,

and services, collaborating with product and engineering teams to translate requirements into

technical solutions, and improving system scalability, performance, and reliability.

Design and develop scalable data platforms and services to support Bluebeam products and business needs.

Build and maintain data pipelines and analytics systems that enable reliable, high-quality data processing and insights.

Develop software components and integrations that expose data capabilities through APIs and services.

Ensure the reliability, performance, and availability of data and platform systems through monitoring, troubleshooting, and optimization.

Collaborate with cross-functional teams to translate product and business requirements into technical solutions.

Participate in system design and architectural discussions to evaluate and implement appropriate technical approaches.

Document system designs, data workflows, and code to support maintainability and knowledge sharing.

Contribute to continuous improvement of engineering practices, processes, and platform capabilities.

Required Qualifications:

6+ years in software development, with a focus on data-intensive applications, cloud solutions, and scalable data architectures.

Strong experience in software and data engineering using programming languages including Go (Golang) and Python.

Advanced SQL expertise, including procedural SQL dialects (Snowflake Scripting, PL/pgSQL, T-SQL, PL/SQL).

Design, development, and optimization of Snowflake-based data platforms, including data modeling, ETL/ELT pipelines, and performance tuning.

Experience with batch, CDC, event-driven, and SaaS-based data pipelines, including handling data in formats like Avro, Parquet or Iceberg.

Senior Data Engineer