Note: The job is a remote job and is open to candidates in USA. Digital Asset Management.com is a company that empowers ambitious brands to create meaningful digital customer experiences. They are seeking a Senior Software Engineer specializing in Data Engineering to build scalable data infrastructure using modern tools like Snowflake and Dagster, supporting their marketing cloud platform and AI-driven analytics.
Responsibilities
• Design and build scalable data pipelines using Dagster for orchestration and Snowflake for data warehousing
• Develop and optimize complex data models and transformations to support real-time analytics and AI/ML initiatives
• Build metadata-driven, reusable data solutions that enable self-service analytics across the organization
• Implement AI-powered data quality monitoring, anomaly detection, and automated data validation frameworks
• Partner with Data Scientists and ML Engineers to enable efficient model training and inference workflows
• Optimize query performance and cost efficiency across multi-petabyte data workloads in Snowflake
• Build robust data governance frameworks including lineage tracking, data cataloging, and access controls
• Implement event-driven data architectures supporting real-time customer experience optimization
• Collaborate with Product and Engineering teams to instrument applications for comprehensive data collection
• Mentor junior engineers on data engineering best practices and modern data stack technologies
Skills
• 5+ years of experience in data engineering roles with focus on large-scale data processing
• Expert-level proficiency in Python for data pipeline development and automation
• Strong SQL skills with experience in query optimization and performance tuning
• Strong hands-on experience with Snowflake including performance optimization, security, and cost management (must-have)
• Proven experience with Dagster or similar workflow orchestration tools (Airflow, Prefect)
• Deep understanding of data modeling, ETL/ELT patterns, and dimensional modeling techniques
• Experience with streaming data technologies (Kafka, Kinesis, Pub/Sub) and real-time processing
• Experience with cloud data platforms (AWS, GCP, Azure) and their native data services
• Knowledge of data governance tools and practices (data cataloging, lineage, quality monitoring)
• Familiarity with version control (Git) and CI/CD practices for data pipelines
• Interest in AI/ML applications including feature engineering, model serving, and MLOps workflows
• Experience with dbt for analytics engineering and data transformation
• Hands-on experience with vector databases and embedding pipelines for AI applications
• Knowledge of data mesh architecture and domain-driven data design
• Experience with Apache Spark for large-scale data processing
• Snowflake certifications (Data Engineer, Architect)
• Experience with customer data platforms (CDPs) and marketing analytics
• Understanding of privacy regulations (GDPR, CCPA) and data anonymization techniques
Benefits
• Competitive healthcare coverage
• Wellness programs
• Take it when you need it time off
• Parental leave
• Recognition programs
Company Overview
• Digital Asset Management.com is the DAM industry education and community resource site from Widen, an Acquia company. It was founded in 2005, and is headquartered in , with a workforce of 1001-5000 employees. Its website is http://DigitalAssetManagement.com/.
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