Job Description
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 impactful digital customer experiences. They are seeking a Senior Software Engineer specializing in Data Engineering to build robust data infrastructure using tools like Snowflake and Dagster for 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 • Strong hands-on experience with Snowflake including performance optimization, security, and cost management (must-have) • Expert-level proficiency in Python for data pipeline development and automation • Strong SQL skills with experience in query optimization and performance tuning • 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 • And much more! 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 Apply tot his job