Data Modeler / Data Architect

Join our innovative team at System Canada Technologies as a Data Modeler / Data Architect. In this role, you will be responsible for designing and implementing data models that support the organization’s business objectives. Your expertise will be critical in ensuring that our data architecture is robust, scalable, and efficient.

Join our dynamic team at System Canada Technologies as a Data Architect / Modeler. In this contract role, you will play a pivotal part in designing and implementing data architecture solutions that drive our projects forward. Your expertise will be invaluable in developing data models that enhance our capabilities and support our clients' needs.

Join our innovative team at shyftlabs as a Data Architect. In this role, you will be pivotal in shaping data strategies, designing data models, and ensuring the integrity and security of data across our platforms. You will collaborate with cross-functional teams to build robust data solutions that drive business insights and promote data-driven decision-making.

Join our dynamic team at System Canada Technologies as a Data Warehouse Architect. In this critical role, you will be responsible for designing and implementing robust data warehouse solutions that support our organization's data strategy. Your expertise will help us transform raw data into actionable insights, enabling data-driven decision-making across the enterprise.As a Data Warehouse Architect, you will collaborate closely with cross-functional teams, including data engineers, analysts, and business stakeholders, to ensure our data architecture aligns with business objectives. You will leverage your analytical skills to create scalable and efficient data models and provide guidance on best practices for data governance and quality.

Join System Canada Technologies as an XML Data Architect and play a pivotal role in shaping our data architecture. You will be responsible for designing and implementing XML-based data systems that enhance our technology solutions. Collaborate with cross-functional teams to ensure data integrity and accessibility, while driving innovation and efficiency.

About Us At Konrad Group, we are a forward-thinking digital consultancy committed to tackling intricate business challenges for a diverse international client base. Our dynamic team thrives in a culture of innovation, crafting world-class digital solutions that touch the lives of millions globally. We seek bright, analytical individuals who are dedicated to continuous learning and excellence. Your Role as a Data Architect As a Data Architect, you will leverage your technical prowess and inquisitive nature to address complex business issues through data science, enterprise architecture, and data governance best practices. You will design and supervise the creation of scalable, secure, and dependable data solutions, effectively communicating their value to both technical and business stakeholders. Your collaboration with data engineers, analysts, product managers, and clients will lead to the design and delivery of impactful data and AI solutions. You will be adept at handling large databases, architecting enterprise data systems, and contributing to AI-driven products in highly regulated environments. With a robust background in data science, system design, and modern data tools, you will be a vital contributor to our team. Your Responsibilities Collaborate with clients and internal teams to identify where data science and machine learning can enhance business outcomes. Analyze, explore, and prepare substantial datasets for modeling and experimentation. Design, construct, and validate statistical, predictive, and machine learning models. Work with engineering teams to develop and deploy scalable data science and AI solutions. Assess model performance and iteratively enhance accuracy through techniques like A/B testing and causal analysis. Lead data modernization and migration initiatives in large enterprises. Effectively communicate findings, methodologies, and recommendations to both technical and non-technical stakeholders. Stay abreast of the latest trends in data science, AI, and machine learning.

We are seeking a talented and experienced Senior Associate Director of IT specializing in Data Modeling and Report Development to join our dynamic team at Mufg Investor Services. In this pivotal role, you will leverage your expertise to design, develop, and maintain robust data models and reporting solutions that drive informed decision-making across the organization.As a critical member of our IT department, you will collaborate with cross-functional teams to gather business requirements, analyze data sources, and create insightful reports that enhance operational efficiency. Your contributions will be vital in supporting our strategic goals and delivering exceptional value to our clients.

Role Overview Capco is hiring a Data Architect focused on Wealth and Asset Management in Toronto, Canada. This position centers on designing and building data solutions that support clients in the financial sector. The work directly impacts how clients manage information and make decisions. What You Will Do Design data architectures tailored to the needs of wealth and asset management clients Implement data solutions that improve operational efficiency and support informed decision-making Apply domain knowledge to help clients adapt to changing demands in financial services

Join MaintainX as a Senior Data Developer specializing in Data Governance. In this pivotal role, you will design and implement strategies that ensure the integrity, accessibility, and security of our data assets. Collaborate with cross-functional teams to establish governance frameworks that support our data-driven initiatives.

Role Overview Movable Ink is hiring a Senior Data Engineer focused on Event Data for the Toronto office. This role centers on building and maintaining data pipelines that support marketing strategies for leading brands. The work involves modern data technologies and emphasizes both the reliability and accessibility of event data.

Join our dynamic team at System Canada Technologies as a SAS Architect / Administrator. In this pivotal role, you will leverage your expertise in SAS to design, implement, and optimize our data analytics solutions. You will work closely with cross-functional teams to ensure efficient data management and analytics processes. If you are passionate about data and looking to make a significant impact, we want to hear from you!

Join our dynamic team at oliverusa as a Data Analyst. In this pivotal role, you will harness the power of data to drive insights and support decision-making processes across various departments. Your analytical skills will be essential in interpreting complex datasets, identifying trends, and presenting actionable recommendations to stakeholders. We are looking for a detail-oriented individual who thrives in a fast-paced environment and is passionate about data analytics.

Join Bounteous as a Data Solutions Lead, where you will spearhead innovative approaches to data management and analytics. In this vital role, you will leverage your expertise to enhance our data solutions, guiding teams in the development and execution of cutting-edge data strategies that optimize client outcomes.Key Responsibilities:Lead data strategy initiatives and collaborate with cross-functional teams to deliver high-quality data solutions.Drive the implementation of data governance frameworks to ensure data integrity and compliance.Mentor and support team members in data analytics and reporting best practices.Engage with clients to understand their data needs and provide tailored solutions that align with their business objectives.

We are seeking a detail-oriented Data Extraction Specialist to join our dynamic team at cmic. In this role, you will be responsible for extracting and analyzing data from various sources to support our business objectives. Your analytical skills and attention to detail will be crucial in ensuring data accuracy and integrity.You will work closely with cross-functional teams to identify data needs and implement effective extraction methods. If you are passionate about data and eager to contribute to impactful projects, we want to hear from you!

Who We AreAbout StripeStripe is a cutting-edge financial infrastructure platform that empowers businesses of all sizes, from the largest global enterprises to the most innovative startups. Millions of companies utilize Stripe to seamlessly accept payments, enhance their revenue streams, and unlock new business opportunities. Our mission is to enhance the GDP of the internet, presenting you with a remarkable chance to make a significant impact on the global economy while pursuing some of the most meaningful work of your career.About the TeamThe Data Science team at Stripe works collaboratively across various departments to ensure that our users, products, and business strategies are backed by robust models, insightful data products, and actionable insights. We are searching for passionate data scientists who thrive on analyzing data, developing machine learning and statistical models, and conducting experiments that lead to impactful results. Our extensive work spans various domains, from enhancing product functionality (such as understanding user behavior, preventing fraud, and optimizing payment processes) to improving business operations (like forecasting key metrics, managing liquidity, and assessing risk exposure), and refining go-to-market strategies (including designing growth experiments and optimizing marketing efforts). We offer diverse Data Science roles and will align you with the team that best fits your expertise.

Role overview Pinterest is hiring a Senior Data Scientist in Toronto, ON. This role focuses on using advanced data analysis and machine learning to guide business decisions and improve the user experience. What you will do Analyze large datasets to uncover insights that inform product and business strategy Apply machine learning methods to solve real-world problems on the Pinterest platform Work closely with teams across the company to develop and implement data-driven solutions Help optimize features and experiences for millions of Pinterest users

Join our dynamic team as a Lead Data Scientist, where you will:Collaborate closely with our clients' executive and technical teams to steer their strategies in AI, analytics, data engineering, and overall data management.Identify and advocate for innovative projects that tackle intricate issues across diverse sectors.Utilize advanced skills and core data science techniques (such as experimental design, recommender systems, and machine learning) to drive enhancements in our clients' operations.Design and implement comprehensive data pipelines, collaborating with stakeholders to develop models, tables, or schemas that enhance our clients' business workflows.Enable both internal and external teams to establish and maintain actionable KPIs, production-ready dashboards, insightful analyses, and scalable data products.

Hello, Future Homie!At Homebase, we invite you to be part of a dynamic team that is innovative, swift, and dedicated to empowering small businesses. Our culture is built on empathy, urgency, and a passion for taking bold actions that create significant impacts. Every member at Homebase, affectionately known as a 'Homie,' is committed to elevating standards, providing support, and celebrating team victories.We're not merely developing an application; we're cultivating unstoppable teams. So, are you ready to join us?Your Impact Begins HereWe're in search of a Data Engineer who will help us revolutionize the way small businesses leverage data. This role is not just about creating data pipelines; it's an exciting chance to construct the backbone of AI-driven, rapid insights that power our innovations at Homebase.You will be responsible for developing and maintaining data pipelines, models, and reporting mechanisms that transform raw data into intelligent products and swift solutions. This position demands both technical prowess and a sense of ownership—you'll guide projects from concept to deployment, ensuring they are scalable, dependable, and yield measurable business results.Your Contributions will Include:Designing, developing, and optimizing data pipelines for processing structured & unstructured data at scale.Building and maintaining data models (fact, dimension, slowly changing dimensions, medallion/layered architecture, marts).Creating reports and dashboards to aid in business performance analysis.Collaborating with product, data science, and analytics teams to enable AI-powered features.Assisting with data architecture transformation & migration on Databricks.Quickly troubleshooting and resolving data quality/performance issues.Optimizing queries and enforcing best practices for reliability and velocity.Driving continuous workflow improvements through automation and experimentation.Leading projects from planning through execution to delivery. Key Strengths for Success: These experiences and strengths will set you up for triumph in this role:5+ years of experience in software/data engineering.Proficient in SQL (including window functions, CTEs, complex joins).Strong understanding of data pipeline architecture and data modeling.Experience with cloud platforms and big data technologies.A proactive approach to problem-solving and a passion for continuous learning.

About UsAt Cohere, our mission is to scale intelligence for the betterment of humanity. We specialize in training and deploying cutting-edge models for developers and enterprises, enabling them to create AI-powered experiences such as content generation, semantic search, retrieval-augmented generation (RAG), and intelligent agents. Our commitment to excellence is key to fostering the widespread adoption of AI technologies.We take great pride in our craft. Each team member is dedicated to enhancing the capabilities of our models and maximizing the value delivered to our clients. We thrive in a fast-paced environment, working diligently to prioritize our customers' needs.Cohere is a dynamic team of researchers, engineers, and designers, all driven by a shared passion for innovation. We believe that a diverse range of perspectives is essential for creating exceptional products.Join us on this exciting journey and help shape the future of AI!Why this role mattersAs a Machine Learning Engineer focusing on pre-training data, you will be instrumental in developing the data pipeline that supports Cohere’s advanced language models. This role involves conducting data ablations to evaluate data quality and crafting pre-training data mixtures aimed at optimizing model performance. By merging research with engineering, you will play a crucial role in transforming raw data into state-of-the-art AI models and will directly influence key training metrics such as throughput and accelerator utilization.Your contributions will be vital to our mission of delivering reliable and efficient language understanding and generation capabilities, driving innovation in natural language processing. If you're passionate about harnessing data to build foundational AI systems, this position presents a unique opportunity to make a significant impact.Note: Our offices are located in London, Paris, Toronto, San Francisco, and New York, and we fully support remote work! This role is open to candidates located anywhere in the EST to EU time zones.As a Machine Learning Engineer, Pre-Training Data, your responsibilities will include:Conducting data ablations to assess data quality and experimenting with data mixtures to boost model performance.Developing robust data modeling techniques to guarantee datasets are structured and formatted for optimal training efficiency.Researching and implementing innovative data curation methods, utilizing Cohere’s infrastructure to propel advancements in natural language processing.Collaborating with cross-functional teams to ensure the integration of high-quality data into our models.

ampleinsightinc is seeking enthusiastic Data Scientists with a strong passion for Data Analytics and Infrastructure. Ideal candidates will have a solid foundation in data engineering, analytics, and statistics. You will thrive on working with large and intricate datasets, designing and implementing efficient data pipelines that support scalable and reliable analytics.In this role, you will be tasked with the design and maintenance of our data infrastructure, automation of workflows, and ensuring data accessibility across various teams. Your contributions will have a direct influence on business decisions by providing high-quality insights and creating robust analytics systems. Strong problem-solving, communication, and teamwork skills are essential to succeed in this position.