• Design, build, and maintain backend services and REST APIs that serve data from various SQL subsystems and other data sources • Develop well-tested, production-grade Python services with clean API contracts, proper authentication, versioning, and error handling • Work closely with the Analytics Engineering team to expose modeled data (billing, settlement, finance) through APIs that downstream consumers can rely on • Build internal tooling and services that enable the broader organization to self-serve their data needs without writing SQL • Participate in code reviews, system design discussions, and engineering best practices across the Infrastructure org • Contribute to service observability: logging, metrics, alerting, and on-call practices for the services you own • Maintain and improve existing data pipelines that move data from source systems into Snowflake (Airflow, Airbyte) • Contribute to the dbt project alongside the Analytics Engineering team — model improvements, test coverage, and data quality • Support data governance practices including access controls, lineage documentation, and data quality standards

• Platform Strategy & Leadership • Technical Direction: Define and champion the architectural roadmap and best practices for our end-to-end data pipelines, ensuring scalability, reliability, and security across the platform. • Team Mentorship & Project Velocity: Act as a primary technical mentor, guiding a team of engineers, conducting code reviews, and aggressively driving the project timeline to ensure rapid delivery of data products. • Stakeholder Collaboration: Partner with Data Scientists, Analysts, and business stakeholders to translate complex requirements into robust, production-ready data solutions. • Collaboration with Data Scientists and ML Engineers:  Data Accessibility, Support for Model Development, Data Quality Assurance • Data Pipeline Development & Management • Ingestion & Transformation: Design, build, and optimize high-volume data ingestion and transformation jobs using tools like dbt Core, AWS Glue, or Flexter, ensuring data quality and integrity. • Workflow Orchestration: Develop and maintain sophisticated data pipelines using orchestrators such as Dagster or Talend, focusing on modularity and reusability. • Streaming & Real-time Integration: Implement and manage real-time data flows utilizing Confluent platforms or native AWS streaming services (e.g., Kinesis) for immediate data availability. • Data Security and Privacy: Data Anonymization, Compliance with Regulations • Be well versed with DataOps and DevOps fundamentals - Assist and drive the Data Ecosystem Management & Monitoring - Open Table Formats & Management: Implement and maintain the Iceberg open table format, utilizing tools like Upsolver (Talend Open Lakehouse) for efficient schema evolution and data management. - Compute Engine Optimization: Optimize query performance and cost efficiency across our primary compute engines: Snowflake, Amazon Redshift, and AWS Athena. Observability & Monitoring: Integrate comprehensive monitoring and observability into all pipelines using Splunk to ensure high availability, rapidly identify bottlenecks, and troubleshoot production issues

• Make data originating from global (external) sources available in an analytical data store for business areas, ensuring governance and access in accordance with policies and governance established by Rumo. • Build data pipelines with DevOps practices, using Terraform and Jenkins/GitHub to automate AWS infrastructure provisioning and solution deployments. • Assist data analysts in classifying personal and sensitive data and configuring it in AWS Lake Formation (column- and row-level access permissions). • Process large volumes of data using Spark via EMR Studio and AWS Glue Jobs and Workflows. • Assist data analysts in designing dimensional models for data analysis (facts and dimensions).

About Alloy.ai At Alloy.ai, we work with consumer goods companies that make the products we eat, wear, and use every day, as well as the ones we occasionally splurge on. We’re tackling a real and complex problem for them—managing supply and demand in the face of constantly changing customer behavior, highly complex supply chain networks, 40-year-old data standards and labor-intensive manual processes. Alloy.ai is a fast-growing, well-funded startup with an expanding presence across the world. Our team hails from successful startups, leading tech companies and Fortune 100 enterprises. We believe deeply in fostering individual ownership, iterating to excellence, focusing on what matters, communicating openly & respectfully, and supporting one another. We encourage people of all backgrounds to apply. Alloy.ai is committed to creating an inclusive culture, and we celebrate diversity of all kinds. About The Role Our network-based data platform is one of Alloy.ai’s core strategic assets. When we work with manufacturers, we are able to quickly integrate disparate information shared by their trading partners, including retailers, material suppliers, distributors and logistics providers, and we can do that up to an order of magnitude faster than other solutions. Most of our integration infrastructure with more than 400 active integrations is fully reusable, and connections to common trading partners are maintained across multiple Alloy customers. Our implementation team is in charge of building,and deploying data for customers, ensuring integration best practices are adhered to. This contractor role extends our implementation team and will interface with integration specialists, project managers and our engineering team. About You In this role, you will help a project team deliver retailer data integrations to our customers. Your task is to devise data mapping procedures for new retailer data feeds based on existing best practices for feed design and implementations and to deliver them to our customers. You will write data transformations for our data pipeline which processes our customers’ data at any time of day. You will get to know the data back office of retailers you may know from your daily shopping and learn more about some of your favourite brands’ businesses. To succeed in this position, you should possess curiosity, creativity, good problem solving skills and be an effective communicator all while being able to work successfully in a team and independently. What You Will Do - Design and build new integrations for retailer data sources based on customer requirements to unlock powerful cross-retailer analyses combining data from various, disparate data sources. - Critically QA and test your work. - Analyze data for issues and report back possible solution paths to team members if you cannot solve them. - Facilitate quality checks and provide User Acceptance Testing dashboards for integrations prior to customer sign off. - Work together with a project team of project managers, integrations specialists, and data engineers to deliver a stellar customer experience throughout the implementation journey. - Deliver against a project plan with deadlines and timelines while providing progress as necessary to internal stakeholders. What We Are Looking For - You are adept at data analysis and data wrangling through programming (e.g. pandas, dplyr), database querying (SQL), or spreadsheets (Excel). - You can successfully work independently on projects and deliver to deadlines. - Ability to communicate regularly to stakeholders and identify delays or roadblocks early to ensure key deadlines and milestones are met. - You are intellectually curious, especially about data, and are constantly eager to find out how things work and how to fix them. - You are a self-starter, and actively seek advice from other team members to maximize the quality of your work. - You are an effective communicator both verbally and written with a knack for translating technical details to non-technical audiences. - You are organized, can effectively keep track of a long to-do list in order to prioritize and deliver tasks on time. You leave no loose ends! - Preferably, you have some experience working with versioning tools and code review. $30 - $30 an hour Role Specifics - Contract role is hourly with an expected initial scope of 20 hours a week with daily, set hours overlapping with 9am - 5pm EST. There is potential for additional hours up to 40 hours a week, with flexibility to set your own schedule over time if deliverables are being met. - This is a 6 month contract position to start with a potential opportunity for extension. - Role is preferred to be in person in Vancouver or Toronto but Remote will be considered for the right candidate. - Work needs to be completed from the United States or Canada unless discussed ahead of time with the VP of Operations and hiring manager. - Contractor needs to have a computer that meets the below requirements (if not possible please let us know ahead of time for potential alternatives) and comply with all of Alloy’s security requirements including a basic background check. - Must be able to enable full hard disk encryption - Pay will be semi-monthly. This is not a full time position and does not offer benefits. Alloy reserves the right to request a schedule change even after schedule is set as business needs arise but contractor can as well as long as it fits with other contractors. Any days off (including statutory holidays) should be agreed upon in advance to ensure coverage. This is a month to month contract position with an initial commitment of 6 months. Contractor will need to meet Alloy’s security requirements including: basic background check upon offer as Contractor will be dealing with sensitive data, accepting and complying with all Alloy security policies, and have a computer with full hard disk encryption (if not possible please let us know ahead of time for potential alternatives).