Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. Supplier.io participates in E-Verify, for more information, please click here. We are seeking a highly skilled and business-minded Senior Data Analyst to join our Economic Impact Delivery team. This role is responsible for advanced data analysis, forecasting, and generating high-quality reporting to support strategic business and customer insights. The ideal candidate is an analytical thinker who thrives on solving complex problems, communicates effectively with non-technical stakeholders, and can take initiative across multiple projects. The Senior Data Analyst typically uses a variety of software tools to perform data analysis, create visualizations, and derive insights, including Excel and Power BI. We’re looking for someone who not only excels in data analysis and storytelling but also demonstrates strong communication and presentation skills to clearly convey insights to diverse audiences. The candidate should bring a strong sense of ownership, collaboration, and the ability to guide others. Someone who naturally leads by example, contributes to team development, and builds confidence through clear, impactful communication. What you will do: Analytical & Strategic Insight Conduct in-depth analysis of complex customer data sets to uncover trends, patterns, and actionable insights. Provide accurate forecasts and support strategic decision-making across delivery functions. Identify risks, anomalies, or gaps in data and proactively suggest solutions. Reporting & Data Integrity Build and deliver clear, compelling customer reports and dashboards using tools like Excel and Power BI. Ensure high data quality by validating accuracy, detecting errors, and implementing monitoring practices. Deliver consistent, well-documented insights and support ad hoc reporting needs. Cross-functional Collaboration Partner with project managers and stakeholders to understand reporting requirements and translate them into data specifications. Communicate technical findings to non-technical stakeholders in a clear, actionable way. Build trust and alignment with business users by presenting complex data in a business-relevant language. Operational Excellence & Process Improvement Help optimize report delivery workflows and contribute to continuous improvement of internal data processes. Identify opportunities for automation, efficiency, and scalability in reporting processes and data systems. Team Contribution & Mentorship Act as a resource and informal mentor to peers by sharing knowledge, best practices, and supporting collaborative problem solving. Lead by example in communication, quality of work, and accountability. What You’ll Need to Succeed o Bachelor’s degree in business Analytics, Statistics, Economics, or a related field. o 7–10 years of experience in a senior data analysis, business intelligence, or similar role. o Proven experience in a senior analyst role, demonstrating expertise in data analysis and interpretation. o Strong command and proficiency in data visualization. o Ability to recognize data patterns. o Ability to simultaneously handle data projects at a time. o Excellent problem-solving skills and the ability to think critically and strategically. o Leadership experience with the ability to mentor and guide a team of analysts. o Must be detailed and results-oriented with excellent skills for data analysis. o Strong communicator with the ability to distill complex information into clear, business-focused insights. o Demonstrated ability to manage multiple concurrent data projects and deadlines. o Proven track record of taking initiative, improving processes, and influencing outcomes. o Strong proficiency in Excel, including advanced formulas and data modeling. o Working knowledge of SQL and data querying techniques. o Proficiency with MS Windows based applications including Excel, Outlook, Word, PowerPoint required.
Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. Supplier.io participates in E-Verify, for more information, please click here. We are seeking a highly skilled and business-minded Senior Data Analyst to join our Economic Impact Delivery team. This role is responsible for advanced data analysis, forecasting, and generating high-quality reporting to support strategic business and customer insights. The ideal candidate is an analytical thinker who thrives on solving complex problems, communicates effectively with non-technical stakeholders, and can take initiative across multiple projects. The Senior Data Analyst typically uses a variety of software tools to perform data analysis, create visualizations, and derive insights, including Excel and Power BI. We’re looking for someone who not only excels in data analysis and storytelling but also demonstrates strong communication and presentation skills to clearly convey insights to diverse audiences. The candidate should bring a strong sense of ownership, collaboration, and the ability to guide others. Someone who naturally leads by example, contributes to team development, and builds confidence through clear, impactful communication. What You Will Do Analytical & Strategic Insight Conduct in-depth analysis of complex customer data sets to uncover trends, patterns, and actionable insights. Provide accurate forecasts and support strategic decision-making across delivery functions. Identify risks, anomalies, or gaps in data and proactively suggest solutions. Reporting & Data Integrity Build and deliver clear, compelling customer reports and dashboards using tools like Excel and Power BI. Ensure high data quality by validating accuracy, detecting errors, and implementing monitoring practices. Deliver consistent, well-documented insights and support ad hoc reporting needs. Cross-functional Collaboration Partner with project managers and stakeholders to understand reporting requirements and translate them into data specifications. Communicate technical findings to non-technical stakeholders in a clear, actionable way. Build trust and alignment with business users by presenting complex data in a business-relevant language. Operational Excellence & Process Improvement Help optimize report delivery workflows and contribute to continuous improvement of internal data processes. Identify opportunities for automation, efficiency, and scalability in reporting processes and data systems. Team Contribution & Mentorship Act as a resource and informal mentor to peers by sharing knowledge, best practices, and supporting collaborative problem solving. Lead by example in communication, quality of work, and accountability. What You’ll Need To Succeed Bachelor’s degree in business Analytics, Statistics, Economics, or a related field. 7–10 years of experience in a senior data analysis, business intelligence, or similar role. Proven experience in a senior analyst role, demonstrating expertise in data analysis and interpretation. Strong command and proficiency in data visualization. Ability to recognize data patterns. Ability to simultaneously handle data projects at a time. Excellent problem-solving skills and the ability to think critically and strategically. Leadership experience with the ability to mentor and guide a team of analysts. Must be detailed and results-oriented with excellent skills for data analysis. Strong communicator with the ability to distill complex information into clear, business-focused insights. Demonstrated ability to manage multiple concurrent data projects and deadlines. Proven track record of taking initiative, improving processes, and influencing outcomes. Strong proficiency in Excel, including advanced formulas and data modeling. Working knowledge of SQL and data querying techniques. Proficiency with MS Windows based applications including Excel, Outlook, Word, PowerPoint required.
Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today's procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. The Opportunity The Sr. DevOps Engineer will serve as a key contributor in automating and optimizing the software and data delivery lifecycle. This role bridges the gap between development, data engineering and operations by designing, building, and maintaining robust CI/CD pipelines, fostering a culture of automation, observability, and accountability. The ideal candidate is passionate about enabling faster, safer, and more reliable software delivery and data reliability, while partnering cross-functionally to enhance scalability, resilience, and operational excellence. What You Will Do Design, build, and maintain automated CI/CD pipelines using tools such as Azure DevOps. Implement Infrastructure as Code (IaC) using Terraform and Ansible to provision and manage environments consistently. Collaborate with software development teams to ensure consistency across development, staging, and production environments, leveraging containers and Kubernetes. Partner with CloudOps, AI, Data and Platform Engineering to design and maintain resilient, scalable infrastructure that supports application, AI and data delivery. Implement CI/CD for data workflows using orchestration frameworks (e.g., Airflow, dbt Cloud, Cloud Composer, or Dagster). Ensure data pipelines are observable, version-controlled, and deployable using the same DevOps principles applied to software systems. Automate application build, test, and deployment workflows to accelerate delivery and reduce human error. Manage and optimize deployment strategies, including blue/green, canary, and rolling releases. Implement and maintain monitoring, logging, and alerting solutions. Evaluate and integrate emerging DevOps tools and practices to improve delivery efficiency, scalability, and reliability. Mentor and guide developers and operations staff on DevOps best practices and CI/CD processes. Foster a culture of proper code and configuration promotion through well-defined pre-production and production environments. Support container management from a release and delivery perspective. What You Will Need To Succeed Proven experience designing and managing CI/CD pipelines in Azure DevOps, Jenkins, GitLab CI, or similar platforms. Strong proficiency in Infrastructure as Code tools such as Terraform, Ansible, and Helm. Deep understanding of containerization and orchestration technologies, including Docker and Kubernetes. Solid experience with cloud platforms (AWS, Azure, or GCP) and related services for compute, storage, and networking. Expertise in deployment methodologies such as blue/green, canary, and rolling updates. Strong knowledge of monitoring and observability stacks. Proficiency in scripting languages (e.g. Bash, Python, PowerShell, or Go) for automation and integration. Experience with version control and Git-based workflows. Excellent collaboration and communication skills with a track record of working effectively across development, operations, and infrastructure teams. Ability to mentor junior engineers and advocate for DevOps principles across teams. A continuous improvement mindset focused on speed, safety, and reliability in software delivery. Experience automating and orchestrating data ingestion and transformation pipelines across databases, APIs, and data warehouses (e.g., Snowflake, BigQuery, Postgres) using CI/CD principles Understanding of data pipeline observability, data quality validation, and versioning practices (e.g., dbt tests, schema migration automation, or metadata tracking). Preferred Qualifications 7+ years of experience in DevOps, Cloud Engineering, or a related field with progressive responsibility. Mastery of the Google Cloud Platform Experience w/MLOps to deploy and manage AI technologies such as Ollama, FastAPI, Vector Systems as well as building CI/CD for data pipelines and integrating ML model deployment workflows. Experience managing containers from a CI/CD and release management perspective. Background in security automation, compliance, and policy-as-code frameworks. Experience with automated testing and quality gates within CI/CD pipelines. Familiarity with agile methodologies and modern software delivery practices. Supplier.io participates in E-Verify. For more information, click here. We will provide the Social Security Administration and, if necessary, the Department of Homeland Security, with information from each new employee's Form I-9 to confirm work authorization. Supplier.io is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. If you require reasonable accommodation to complete the application or interview process, please contact the Human Resources department at [HIDDEN TEXT] or 978-843-5747.
Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. Reports to: CTO Number of Direct Reports: N/A Location: Hyderabad, India Working Shift: UK/Hybrid (2 days a week at office) The Opportunity We are at an exciting stage in our AI journey. Supplier.io is embedding advanced AI capabilities across its data and product ecosystem to accelerate innovation and deliver smarter, more personalized sourcing experiences. The AI Technical Lead will serve as the CTO’s right hand in designing, developing, and implementing AI solutions that power Supplier.io’s next-generation platform. This is a hands-on individual contributor role focused on deep technical expertise, architecture, and execution, not people management. The ideal candidate will bring strong experience with LLM architecture, RAG systems, and agentic frameworks alongside a solid foundation in machine learning and data engineering. What You Will Do AI Architecture & System Design o Architect, prototype, and deploy large language model (LLM) and retrieval-augmented generation (RAG) systems that enhance Supplier.io products. o Design scalable architectures for integrating LLMs into production workflows—balancing cost, latency, and performance. o Develop agentic AI workflows to automate complex tasks such as supplier search, enrichment, classification, and insights generation. Collaboration & Leadership o Partner closely with AI Engineers to define implementation details, guide development, and ensure code quality and performance. o Collaborate with Product Managers and the CTO to translate business objectives into robust AI technical solutions. o Establish best practices for model orchestration, evaluation, and continuous improvement. Research & Innovation o Explore emerging frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, etc.) and assess their applicability to Supplier.io use cases. o Prototype, benchmark, and refine LLM-driven components for semantic search, summarization, supplier matching, and recommendation systems. o Drive experimentation to evaluate open-source and proprietary LLMs, embeddings, and vector databases (e.g., Pinecone, Chroma, Weaviate). Operational Excellence o Define observability, testing, and deployment standards for AI components across environments. o Work with DevOps and Data Engineering to optimize pipelines for scalability and cost efficiency. o Contribute to model governance, documentation, and reproducibility practices. Security, Privacy & Compliance o Ensure all LLM and RAG implementations follow security best practices related to data confidentiality, PII handling, and prompt injection prevention. o Partner with Legal/Security to ensure compliance with SOC 2, GDPR, and other relevant standards. AI Roadmap & Strategy Contribution o Contribute to the annual AI roadmap by proposing scalable LLM-powered features, tools, and platform investments. Evaluate build-vs-buy decisions for vendor AI tools and foundational models. What You Will Bring 7+ years of experience in AI/ML engineering, with 3+ years of recent focus on LLM, NLP, or RAG-based architectures. Proven experience designing and deploying AI systems in production using frameworks like LangChain, LlamaIndex, Hugging Face, or Ray. Strong understanding of LLM architecture, embeddings, fine-tuning, and inference optimization. Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn). Experience with vector databases (Pinecone, Chroma, FAISS, Weaviate) and cloud platforms (GCP, AWS, or Azure). Familiarity with agentic AI frameworks and multi-agent orchestration concepts. Working knowledge of MLOps, model evaluation, and continuous delivery pipelines. Excellent collaboration and communication skills with the ability to influence technical direction across teams. Why Join Supplier.io Collaborate directly with the CTO on shaping and executing the company’s AI roadmap. Work on real-world AI systems powering the leading supplier intelligence platform trusted by global enterprises. Build and ship production-grade AI features that impact procurement and sourcing outcomes at scale. Be part of a fast-moving, innovation-driven culture that values creativity, ownership, and results.
Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today’s procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. Reports to: CTO Number of Direct Reports: N/A Location: Hyderabad, India Working Shift: UK/Hybrid (2 days a week at office) The Opportunity We are at an exciting stage in our AI journey. Supplier.io is embedding advanced AI capabilities across its data and product ecosystem to accelerate innovation and deliver smarter, more personalized sourcing experiences. The AI Technical Lead will serve as the CTO’s right hand in designing, developing, and implementing AI solutions that power Supplier.io’s next-generation platform. This is a hands-on individual contributor role focused on deep technical expertise, architecture, and execution, not people management. The ideal candidate will bring strong experience with LLM architecture, RAG systems, and agentic frameworks alongside a solid foundation in machine learning and data engineering. What You Will Do AI Architecture & System Design Architect, prototype, and deploy large language model (LLM) and retrieval-augmented generation (RAG) systems that enhance Supplier.io products. Design scalable architectures for integrating LLMs into production workflows—balancing cost, latency, and performance. Develop agentic AI workflows to automate complex tasks such as supplier search, enrichment, classification, and insights generation. Collaboration & Leadership Partner closely with AI Engineers to define implementation details, guide development, and ensure code quality and performance. Collaborate with Product Managers and the CTO to translate business objectives into robust AI technical solutions. Establish best practices for model orchestration, evaluation, and continuous improvement. Research & Innovation Explore emerging frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, etc.) and assess their applicability to Supplier.io use cases. Prototype, benchmark, and refine LLM-driven components for semantic search, summarization, supplier matching, and recommendation systems. Drive experimentation to evaluate open-source and proprietary LLMs, embeddings, and vector databases (e.g., Pinecone, Chroma, Weaviate). Operational Excellence Define observability, testing, and deployment standards for AI components across environments. Work with DevOps and Data Engineering to optimize pipelines for scalability and cost efficiency. Contribute to model governance, documentation, and reproducibility practices. Security, Privacy & Compliance Ensure all LLM and RAG implementations follow security best practices related to data confidentiality, PII handling, and prompt injection prevention. Partner with Legal/Security to ensure compliance with SOC 2, GDPR, and other relevant standards. AI Roadmap & Strategy Contribution Contribute to the annual AI roadmap by proposing scalable LLM-powered features, tools, and platform investments. Evaluate build-vs-buy decisions for vendor AI tools and foundational models. What You Will Bring 7+ years of experience in AI/ML engineering, with 3+ years of recent focus on LLM, NLP, or RAG-based architectures. Proven experience designing and deploying AI systems in production using frameworks like LangChain, LlamaIndex, Hugging Face, or Ray. Strong understanding of LLM architecture, embeddings, fine-tuning, and inference optimization. Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn). Experience with vector databases (Pinecone, Chroma, FAISS, Weaviate) and cloud platforms (GCP, AWS, or Azure). Familiarity with agentic AI frameworks and multi-agent orchestration concepts. Working knowledge of MLOps, model evaluation, and continuous delivery pipelines. Excellent collaboration and communication skills with the ability to influence technical direction across teams. Why Join Supplier.io Collaborate directly with the CTO on shaping and executing the company’s AI roadmap. Work on real-world AI systems powering the leading supplier intelligence platform trusted by global enterprises. Build and ship production-grade AI features that impact procurement and sourcing outcomes at scale. Be part of a fast-moving, innovation-driven culture that values creativity, ownership, and results.
Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today's procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. Reports to: CTO Number of Direct Reports: N/A Location: Hyderabad, India Working Shift: UK/Hybrid (2 days a week at office) The Opportunity We are at an exciting stage in our AI journey. Supplier.io is embedding advanced AI capabilities across its data and product ecosystem to accelerate innovation and deliver smarter, more personalized sourcing experiences. The AI Technical Lead will serve as the CTO's right hand in designing, developing, and implementing AI solutions that power Supplier.io's next-generation platform. This is a hands-on individual contributor role focused on deep technical expertise, architecture, and execution, not people management. The ideal candidate will bring strong experience with LLM architecture, RAG systems, and agentic frameworks alongside a solid foundation in machine learning and data engineering. What You Will Do AI Architecture & System Design Architect, prototype, and deploy large language model (LLM) and retrieval-augmented generation (RAG) systems that enhance Supplier.io products. Design scalable architectures for integrating LLMs into production workflowsbalancing cost, latency, and performance. Develop agentic AI workflows to automate complex tasks such as supplier search, enrichment, classification, and insights generation. Collaboration & Leadership Partner closely with AI Engineers to define implementation details, guide development, and ensure code quality and performance. Collaborate with Product Managers and the CTO to translate business objectives into robust AI technical solutions. Establish best practices for model orchestration, evaluation, and continuous improvement. Research & Innovation Explore emerging frameworks (LangChain, LlamaIndex, CrewAI, AutoGen, etc.) and assess their applicability to Supplier.io use cases. Prototype, benchmark, and refine LLM-driven components for semantic search, summarization, supplier matching, and recommendation systems. Drive experimentation to evaluate open-source and proprietary LLMs, embeddings, and vector databases (e.g., Pinecone, Chroma, Weaviate). Operational Excellence Define observability, testing, and deployment standards for AI components across environments. Work with DevOps and Data Engineering to optimize pipelines for scalability and cost efficiency. Contribute to model governance, documentation, and reproducibility practices. Security, Privacy & Compliance Ensure all LLM and RAG implementations follow security best practices related to data confidentiality, PII handling, and prompt injection prevention. Partner with Legal/Security to ensure compliance with SOC 2, GDPR, and other relevant standards. AI Roadmap & Strategy Contribution Contribute to the annual AI roadmap by proposing scalable LLM-powered features, tools, and platform investments. Evaluate build-vs-buy decisions for vendor AI tools and foundational models. What You Will Bring 7+ years of experience in AI/ML engineering, with 3+ years of recent focus on LLM, NLP, or RAG-based architectures. Proven experience designing and deploying AI systems in production using frameworks like LangChain, LlamaIndex, Hugging Face, or Ray. Strong understanding of LLM architecture, embeddings, fine-tuning, and inference optimization. Proficiency in Python and modern ML frameworks (PyTorch, TensorFlow, scikit-learn). Experience with vector databases (Pinecone, Chroma, FAISS, Weaviate) and cloud platforms (GCP, AWS, or Azure). Familiarity with agentic AI frameworks and multi-agent orchestration concepts. Working knowledge of MLOps, model evaluation, and continuous delivery pipelines. Excellent collaboration and communication skills with the ability to influence technical direction across teams. Why Join Supplier.io Collaborate directly with the CTO on shaping and executing the company's AI roadmap. Work on real-world AI systems powering the leading supplier intelligence platform trusted by global enterprises. Build and ship production-grade AI features that impact procurement and sourcing outcomes at scale. Be part of a fast-moving, innovation-driven culture that values creativity, ownership, and results.
Supplier.io is the market leader in supplier intelligence, trusted by over half of the Fortune 100 to power smarter, more responsible sourcing decisions. Our platform helps corporate procurement teams discover, evaluate, and engage with over 11 million suppliers with a focus on local, small, diverse, and sustainable businesses. This helps organizations build supply chains that are resilient, inclusive, and built for impact. Our solutions empower today's procurement teams with accurate data, actionable insights, and measurable impact, which helps them mitigate risk, expand sourcing options, achieve ESG goals, and advance economic inclusion. Whether tracking spend, sourcing alternate suppliers, or measuring program results, Supplier.io transforms complexity into clarity; empowering teams to lead with confidence and build supply chains that deliver for both business and community. Join a company committed to innovation, inclusion, and making a difference one sourcing decision at a time. For more information, visit www.supplier.io. The Opportunity Supplier.io is expanding our data engineering team and is seeking a Senior Data Engineer to play a critical role in scaling and modernizing our data platform. This role is ideal for a highly experienced, hands-on engineer who thrives in complex environments and enjoys mentoring others while collaborating across teams, geographies, and disciplines. As a Senior Data Engineer, you will drive, shape and execute our long-term data strategy, design resilient and scalable data architectures, and technical excellence across our data ecosystem. You will work closely with Product, DevOps, and Product Engineering teams to ensure our data systems support business growth and data-driven decision making. To support Supplier.io growth, we are investing heavily in cloud-native, data-driven technologies. This role will be instrumental in leveraging modern data services, optimizing cost, and ensuring our data platform is secure, reliable, and scalable. What You Will Do Drive Data Architecture: Lead the implementation of scalable, fault-tolerant data infrastructure that powers our advanced data platform. Lead Technical Strategy: Partner with senior colleagues to define and execute a cohesive data strategy that aligns technical solutions with company objectives. Mentorship & Code Quality: Mentor mid-level and junior engineers, conduct code reviews, and enforce best practices for Python, SQL, and data modeling. Evaluate & Innovate: Proactively identify, evaluate, and integrate new technologies (such as SQL Mesh) to future-proof our stack. Cloud Native Workflow: Establish and maintain CI/CD pipelines, branching strategies, and project workflows using Azure DevOps and Jira. Reliability & Governance: Champion data quality, security, and governance standards and ensure robust monitoring and alerting are in place. Documentation: Own the technical documentation strategy, ensuring high-level architecture diagrams and runbooks are kept current. Perform other duties as assigned. What You Will Need To Succeed 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. Expert-level proficiency in Python and SQL with the ability to write reusable, modular, and efficient code. Strong experience with orchestration tools (e.g., Airflow) or transformation frameworks (e.g., SQL Mesh). 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. We do no accept unsolicited resumes from recruitment/search firms.