Senior Data Engineer

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.

WHO ARE WE LOOKING FOR:

• 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.
• Building and maintaining APIs and microservices for internal and external data integration. Experience with cloud platforms (AWS: S3, EC2, Lambda, SQS, SNS, Kinesis, ELB).
• Experience with data visualization and dashboards, supporting analytics and business reporting needs.
• Experience with NoSQL databases such as DynamoDB, DocumentDB, or MongoDB.
• Experience with CI/CD pipelines, automated testing, and DevOps practices.
• Familiarity with infrastructure-as-code (Terraform) and containerization (Docker/Kubernetes). Exposure to data governance and security practices, including tools such as Collibra, Alation, or OpenMetadata.

Soft Skills.

• Strong collaboration and teamwork skills in cross-functional, high-performance engineering teams. Ability to communicate technical concepts clearly to both technical and non-technical stakeholders.
• Strong problem-solving, analytical thinking, and attention to detail.
• Organized, results-driven, and accountable work style.
• Willingness to learn and expand technical expertise continuously.