Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. As a Senior Data Engineer, you will play a critical role in scaling and modernizing our data platform, driving the execution of our long-term data strategy and ensuring our data systems support business growth.

Responsibilities:

Execute our cohesive data strategy that aligns with company objectives
Lead the design, development, and evolution of Supplier.io data architecture, ensuring scalability, reliability, performance and security
Execute and influence a cohesive data strategy that aligns with company objectives and supports analytics, reporting, and downstream product use cases
Design, build, and maintain robust, cloud-native data pipelines and data warehouses, with Snowflake as a core component of the platform
Own complex data modeling initiatives, including dimensional and analytical models that support business intelligence and advance analytics
Evaluate, introduce, and integrate new tools, technologies, and methodologies, while aligning legacy counterparts for improved data ingestion, transformation, storage, and processing
Drive continuous improvement by optimizing data pipelines, query performance, reliability, observability, and cost efficiency
Partner with Infrastructure, Product, Analytics, and Engineering teams to ensure data systems meet best practices, security standards, and business needs
Provide technical leadership and mentorship to other data engineers, contributing to code reviews, design discussions, and engineering standards
Create and maintain comprehensive technical documentation, including architecture diagrams, data flow maps, runbooks, security considerations, and operations procedures
Participate in agile planning and executive, contributing to estimation, prioritization, and delivery of high-impact data initiatives
Troubleshoot and resolve complex, cross-system data issues and incidents
Perform other duties as assigned

Requirements:

Bachelor of Computer Science, Management Information System, Engineering, Data Science, or related field
7+ years of progressive experience in data engineering with demonstrated ownership of complex data systems in production environments. At least 2 years in a senior or lead capacity preferred
Advanced experience designing, building, and supporting Snowflake based solutions at scale
Proven experience architecting and implementing large-scale data solutions (i.e. Azure, AWS, GCP, or multi-cloud environments)
Strong expertise in data modeling, ETL/ELT processes, and modern data warehousing principles
Advanced proficiency with Snowflake, Python and SQL, building reliable, testable data pipelines
Strong experience with big data technologies, orchestration frameworks, and data pipeline tools. (i.e. Airflow, dbt, Spark, or similar)
Experience working in an agile development environment and collaborating through ticketing systems such as Jira and Azure DevOps
Ability to communicate technical concepts clearly to technical and non-technical teams and influence decision-making
Strong problem-solving skills with the ability to troubleshoot and resolve ambiguous, high-impact issues
A results-oriented mindset with a demonstrated history of driving process improvements and technical excellence
Ability to work independently while also serving as a trusted technical partner and mentor to others along
Ability to take vague requirements and turn them into technical roadmaps

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Engineering

Senior Data Engineer