Senior Cloud Data Platform Engineer

As a Senior Data Engineer at Bluebeam, your role involves designing, building, and operating scalable data and platform services to support Bluebeam's products, integrations, and data-driven capabilities. You will ensure that data and cloud platforms are reliable, secure, and performant, enabling teams to deliver high-quality product experiences and insights. Your responsibilities will include:

• Designing and developing scalable data platforms and services to meet the needs of Bluebeam products and business requirements.
• Building and maintaining data pipelines and analytics systems to enable reliable data processing and insights.
• Developing software components and integrations that expose data capabilities through APIs and services.
• Ensuring the reliability, performance, and availability of data and platform systems through monitoring, troubleshooting, and optimization.
• Collaborating with cross-functional teams to translate product and business requirements into technical solutions.
• Participating in system design and architectural discussions to evaluate and implement appropriate technical approaches.
• Documenting system designs, data workflows, and code to support maintainability and knowledge sharing.
• Contributing to the continuous improvement of engineering practices, processes, and platform capabilities.

Qualifications Required:

• 6+ years of software development experience, focusing on data-intensive applications, cloud solutions, and scalable data architectures.
• Proficiency in programming languages such as Go (Golang) and Python.
• Advanced SQL expertise, including procedural SQL dialects like Snowflake Scripting, PL/pgSQL, T-SQL, PL/SQL.
• Design, development, and optimization experience with Snowflake-based data platforms, including data modeling, ETL/ELT pipelines, and performance tuning.
• Experience with batch, CDC, event-driven, and SaaS-based data pipelines, handling data in formats like Avro, Parquet, or Iceberg.
• Building and maintaining APIs and microservices for data integration, with expertise in cloud platforms like AWS (S3, EC2, Lambda, SQS, SNS, Kinesis, ELB).
• Familiarity with data visualization, dashboards, NoSQL databases (DynamoDB, DocumentDB, MongoDB), CI/CD pipelines, automated testing, DevOps practices, infrastructure-as-code (Terraform), and containerization (Docker/Kubernetes).
• Exposure to data governance and security practices using tools like Collibra, Alation, or OpenMetadata.

Soft Skills:

• Strong collaboration and teamwork skills in cross-functional 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 continuously learn and expand technical expertise. As a Senior Data Engineer at Bluebeam, your role involves designing, building, and operating scalable data and platform services to support Bluebeam's products, integrations, and data-driven capabilities. You will ensure that data and cloud platforms are reliable, secure, and performant, enabling teams to deliver high-quality product experiences and insights. Your responsibilities will include:
• Designing and developing scalable data platforms and services to meet the needs of Bluebeam products and business requirements.
• Building and maintaining data pipelines and analytics systems to enable reliable data processing and insights.
• Developing software components and integrations that expose data capabilities through APIs and services.
• Ensuring the reliability, performance, and availability of data and platform systems through monitoring, troubleshooting, and optimization.
• Collaborating with cross-functional teams to translate product and business requirements into technical solutions.
• Participating in system design and architectural discussions to evaluate and implement appropriate technical approaches.
• Documenting system designs, data workflows, and code to support maintainability and knowledge sharing.
• Contributing to the continuous improvement of engineering practices, processes, and platform capabilities.

Qualifications Required:

• 6+ years of software development experience, focusing on data-intensive applications, cloud solutions, and scalable data architectures.
• Proficiency in programming languages such as Go (Golang) and Python.
• Advanced SQL expertise, including procedural SQL dialects like Snowflake Scripting, PL/pgSQL, T-SQL, PL/SQL.
• Design, development, and optimization experience with Snowflake-based data platforms, including data modeling, ETL/ELT pipelines, and performance tuning.
• Experience with batch, CDC, event-driven, and SaaS-based data pipelines, handling data in formats like Avro, Parquet, or Iceberg.
• Building and maintaining APIs and microservices for data integration, with expertise in cloud platforms like AWS (S3, EC2, Lambda, SQS, SNS, Kines