Senior Data Engineer - USA Remote

BMC Software empowers large organizations by connecting people, systems, and data to accelerate business value and drive growth. The Senior Data Engineer will design, build, and scale governed data platforms, pipelines, models, and services supporting analytics, reporting, AI/ML, and data-driven decision-making. The role partners with technical and business stakeholders to deliver reliable, secure, and scalable data solutions.

Responsibilities:

• Design, build, and maintain scalable data pipelines and integrations across internal and external systems
• Develop and optimize data solutions that support analytics, BI, machine learning, AI/Agentic AI, operational reporting, and self-service data access
• Build robust ELT/ETL workflows to ingest and transform data from systems such as CRM, product telemetry, marketing, finance, support, and subscription platforms
• Design and maintain clean, scalable, and well-documented data models for enterprise reporting and analytics use cases
• Improve data reliability, quality, observability, lineage, and performance across the data platform
• Design and maintain scalable data pipelines and data services that enable AI/ML and GenAI use cases, including model-ready datasets, feature pipelines, and support for retrieval-based and intelligent application workflows
• Partner with analytics engineers, data scientists, architects, and business stakeholders to translate requirements into production-grade data solutions
• Ensure data pipelines are secure, governed, and aligned with enterprise data standards and best practices
• Optimize data processing and storage for performance, cost, scalability, and maintainability
• Support near real-time and batch data processing patterns as required by business use cases
• Contribute to the design of the overall data architecture, including ingestion, transformation, orchestration, storage, semantic modeling, and data serving layers
• Troubleshoot pipeline issues, resolve data inconsistencies, and drive root-cause remediation
• Contribute to engineering standards, code quality, and team best practices

Requirements:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
• Experience working with GTM Analytics domains such as product analytics, customer success, finance, or subscription analytics
• 8+ years of experience in data engineering, preferably in B2B SaaS or large-scale technology companies
• Strong experience designing and building scalable data pipelines and cloud-based data platforms
• Advanced proficiency in SQL and strong programming skills in Python, Scala, or Java
• Hands-on experience with modern cloud data platforms such as Snowflake, BigQuery, Redshift, Databricks, or similar
• Experience with data orchestration and transformation tools such as Airflow, dbt, Informatica, Fivetran, or equivalent
• Strong understanding of data modeling, including dimensional modeling and analytics-oriented schema design
• Experience building and managing data pipelines that support AI/ML workloads, including feature preparation, model-ready datasets, and scalable ingestion of structured and unstructured data