Senior Sales Engineer - Data & AI Security

Join Terawatt Infrastructure as a Senior Data Engineer, where you will play a pivotal role in shaping our data strategies and solutions. In this fully remote position, you will be responsible for designing, building, and maintaining robust data architectures that support our data-driven decision-making processes. Collaborate with cross-functional teams to ensure data integrity and availability while driving continuous improvement in our data management practices.

About the RoleVantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.This is a newly created position, reflecting our commitment to expanding our capabilities.

Join Tiger Analytics, a dynamic and rapidly expanding advanced analytics consulting firm recognized for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We partner with leading Fortune 100 companies to unlock the potential of their data, driving substantial business value. Acknowledged by Forrester and Gartner for our leadership in the analytics space, we are on the lookout for exceptional talent to help build the world’s premier analytics consulting team.We are currently seeking a skilled Data Engineer proficient in Dataiku to join our innovative data team. In this role, you will design, construct, and maintain data pipelines, integration processes, and infrastructure. Working closely with data scientists, analysts, and other key stakeholders, you will facilitate efficient data flow and empower data-driven decision-making throughout the organization.

As a result of our continued expansion and internal advancements, we are excited to announce multiple openings for Senior Software Engineers across various domains within our organization. You will have the opportunity to work under the guidance of seasoned Engineering Managers who are committed to providing mentorship, fostering autonomy, promoting ownership, and investing in your professional development. If you are ready to elevate your career to the next level, we invite you to connect with us!This position is available in a hybrid format (2 days per week at our Toronto office) or fully remote for candidates located anywhere in Canada.

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.

ZoomInfo Technologies Inc. is looking for a Senior Data Engineer based in Toronto, Ontario. This position centers on transforming raw data into actionable insights that support business decision-making. Role overview As a Senior Data Engineer, collaboration with experienced team members is a key part of the job. Projects handled in this role influence how data is managed and applied throughout the company. What you will do Convert large sets of raw data into clear, usable information Support business teams by providing data-driven insights Work closely with colleagues on data-focused projects Location This role is based in Toronto, Ontario, Canada.

Join Rockstar, a dynamic technology company on a mission to revolutionize workforce development. We are committed to creating innovative digital solutions that empower individuals and organizations to excel in today’s economy. We are currently seeking a talented Senior Data Engineer to enhance our core data platform and generate transformative business outcomes.A Senior Data Engineer will be integral to the team, contributing to the advancement of our core data platform, which encompasses data pipelines, machine learning models, and diverse databases. The ideal candidate will possess a robust combination of technical data skills and business acumen to establish a solid foundation of dependable data. Your expertise in data engineering will be crucial in developing high-performing pipelines.Your Responsibilities:- **Data Infrastructure**: Design and maintain the infrastructure that supports the data platform, including pipeline orchestration, data warehousing, and machine learning.- **Data Solutions**: Collaborate with a team of data scientists to develop and sustain data solutions that enable our products to operate efficiently and effectively at scale.- **Data Governance**: Champion best practices in data governance, ensuring data accuracy, accessibility, and compliance across all systems.- **Cross-Platform Data Integration**: Identify and integrate data from various platforms to meet real business needs in product development, engineering, and go-to-market strategies.- **Evolving Core Data Models**: Continuously enhance foundational models by pinpointing and incorporating new, high-value data sources.30/60/90 Day Strategy:30 Days:- Onboard and familiarize yourself with our stack and product.- Understand customer profiles, their challenges, and how data can be utilized to address their needs.- Gain insights into core data entities and their influence on our products.- Begin enhancing core data pipelines by adding layers for data quality and enrichment.60 Days:- Collaborate with data scientists to design datasets and processes that optimize complex workflows.- Take ownership of segments of the data catalog by defining and maintaining metrics, dimensions, and lineage.- Assist teams in extracting value from the platform’s data through consistent reporting and analysis.90 Days:- Automate reporting workflows from data ingestion to dashboard creation and tools.- Independently collect reporting and insights requirements from stakeholders.- Present findings and recommendations to stakeholders to facilitate data-driven decision-making.Required Qualifications:- Proven track record in translating ambiguous business requirements into actionable data engineering solutions.

Join Movable Ink as a Senior Engineer on our Data Platform team, where you will be instrumental in architecting and developing the systems that facilitate data flow across our organization. In this pivotal role, you will contribute to the creation and maintenance of a unified data platform that is responsible for ingesting, processing, and serving substantial volumes of data that underpin our innovative products. Collaborating with cross-functional teams in engineering, analytics, and infrastructure, you will design scalable data ingestion pipelines and backend services that seamlessly integrate data from diverse sources while ensuring reliability, governance, and high availability. Your expertise will guide the modernization of legacy data pipelines towards contemporary architectures, enhancing the cohesion of our products and services in their data access. Your contributions will significantly influence the evolution and enhancement of Movable Ink’s offerings.Key Responsibilities:Contribute to the design and implementation of robust data ingestion pipelines and infrastructure.Facilitate the migration of legacy data management processes to a new platform, ensuring minimal disruption for current data consumers.Establish and monitor SLIs and SLOs for the new data platform, utilizing dashboards and alert alerts to ensure optimal performance.Create a versatile data storage layer that accommodates various use cases, including transactional, analytical, and machine learning workloads.Develop comprehensive monitoring and incident response protocols for all data pipelines and services.Partner with product engineering, analytics, and machine learning teams to define data access strategies.

Join creatoriq as a Senior Data Engineer specializing in Reporting. In this pivotal role, you will leverage your expertise to design and implement robust data infrastructure, enabling our team to transform complex datasets into valuable insights. Your contributions will directly influence our reporting processes and drive data-driven decision-making across the organization.

At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

At Relay, we empower self-made entrepreneurs with a digital banking platform that enhances financial clarity, confidence, and control. Our innovative approach transforms cash flow management from a source of stress into a powerful tool for business resilience. Our mission is to elevate the success rate of small businesses, moving beyond traditional banking limitations to enable growth and collaboration.We are seeking a Senior Data Engineer to play a pivotal role in scaling our data ecosystem during an exciting phase of growth. This is your chance to influence how we evolve our data and analytics stack, ensuring our teams have timely access to the right data for optimal decision-making.Note: Our team collaborates in a hybrid environment, working in the office three days a week (Tuesday to Thursday).Your Responsibilities:Design and implement data models using DBT within our Snowflake data warehouse, facilitating secure, privacy-preserving analytics.Ensure the scalability of technologies and processes that support our data platform as Relay grows.Develop data tools, workflows, and APIs for technical teams to access and engage with our data platform.Collaborate with stakeholders to resolve data-related technical challenges and support their infrastructure needs.Construct systems to monitor core KPIs, ensuring teams have the accurate, timely data necessary for effective operations.Partner with Trust, Security, and Governance teams to safeguard customer data through best practices in security and compliance.Qualifications:A minimum of 3 years of experience in Data Engineering.Proficiency in data modeling, data warehousing, and analytics.Experience with DBT and Snowflake or similar technologies.Strong problem-solving skills and the ability to work collaboratively in a team-oriented environment.

We are seeking a detail-oriented Data Administrator/Specialist to join our dynamic team at Ample Insight Inc. This role is crucial in assisting our data scientists and engineers in managing, cleaning, and curating data from diverse sources. Day-to-day tasks may involve identifying objects in images, conducting online research, and entering data accurately. Strong communication skills are essential for articulating findings through clear written summaries and during conference calls.Key Responsibilities:Execute data labeling tasks which include object identification and annotation in photographs.Update and maintain databases and spreadsheets efficiently.Summarize and communicate findings, addressing any issues promptly while proposing workflow improvements.Ensure the accuracy and completeness of collected data, adhering to established guidelines (spelling, grammar, etc.).Handle general inquiries and information requests.Provide administrative support to team members as needed.Research, gather, and compile information effectively.Collaborate closely with our data science and engineering teams.Perform additional duties as required.

Konrad Group, a digital consultancy based in Toronto, focuses on building digital products for clients worldwide. The team values analytical thinking, curiosity, and continuous learning while tackling complex business problems. Role overview The Senior Data Engineer develops and maintains scalable data platforms and pipelines. This position works closely with data analysts, scientists, and engineers to deliver secure and reliable data solutions. Key technologies include Azure Fabric, Databricks, and Snowflake. Main responsibilities Design and build scalable data pipelines and architectures. Create solutions using cloud platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows for reliability, scalability, and performance. Collaborate with internal teams to understand data requirements and deliver tailored solutions. Maintain data security and adhere to industry standards and best practices. Support data modeling, extraction, transformation, and loading (ETL/ELT) processes. Recommend strategies to enhance data quality and analytical capabilities. Location This position is based in Toronto.

Join Lyft as a Senior Data Engineer and play a pivotal role in creating scalable data solutions that enhance our services and drive our business forward. You will work closely with cross-functional teams to design, build, and maintain data pipelines that support analytics and machine learning initiatives.

The Platform team at Spotify is dedicated to developing cutting-edge technology that facilitates rapid learning and scalability, ensuring swift growth in our user base and business globally. Our multidisciplinary approach enables us to construct the necessary infrastructure, tools, frameworks, and capabilities to welcome a billion customers.We are actively seeking a Senior Data Engineer to become a vital part of the Cost Engineering Product Area. Our mission is to promote sustainability through cost and climate intelligence, enhancing Spotify's capacity to share creativity with the world. The Cost Engineering team plays a crucial role in optimizing both the cost and carbon footprint of our infrastructure and software, operating at the intersection of technology, product, procurement, and finance.As a Senior Data Engineer within Cost Engineering, you will have a significant influence on decisions that shape Spotify’s technological and financial future. By designing and implementing the data systems that drive our cost efficiency practices, you will lay the groundwork that enables us to minimize our costs and carbon footprint, allowing Spotify to grow sustainably while mitigating our climate impact.

Veeva Systems is a mission-driven organization and a trailblazer in industry cloud solutions, dedicated to accelerating the delivery of therapies to patients within the life sciences sector. As one of the fastest-growing SaaS companies in history, we proudly exceeded $2B in revenue last fiscal year, with significant growth opportunities on the horizon.At Veeva, our core values drive everything we do: Do the Right Thing, Customer Success, Employee Success, and Speed. We are not just another public company; we made history in 2021 by becoming a public benefit corporation (PBC), committed to balancing the needs of our customers, employees, society, and investors.As a Work Anywhere organization, we offer the flexibility to work from home or in the office, enabling you to excel in the environment that suits you best.Join us in transforming the life sciences industry, as we strive to make a meaningful impact on our customers, employees, and communities.

Join Lyft's innovative Telematics team as a Senior Backend and Data Engineer, where your expertise will directly contribute to enhancing safety and affordability within our ride-sharing platform. In this role, you'll develop and maintain high-frequency data processing systems, utilizing our advanced technology stack, including AWS, Kubernetes, Spark, and Apache Airflow. Collaborate with passionate colleagues across software engineering, machine learning, and data science to transform telematics data into actionable insights that drive our mission of reducing accidents and improving the rider and driver experience.

Welcome to OktaAt Okta, we are redefining identity management. We empower individuals to securely access any technology, from any device or application, fostering a transformative approach to business security and growth. Our innovative solutions, including the Okta Platform and Auth0 Platform, prioritize identity at the heart of operational success.We value diverse perspectives and experiences, seeking lifelong learners who contribute to our dynamic culture.Join us as we shape a future where identity is truly in your hands.Are you driven to tackle complex data challenges and make a significant impact? Do you want to collaborate with a passionate team of cloud engineers and architects? If yes, we want to hear from you!The Auth0 platform manages over 100 million logins daily for clients worldwide and is rapidly expanding. As part of the Data Platform team, you will be instrumental in developing and managing essential data services that enable scalability, reliability, efficiency, and operational excellence. In your role as Senior Manager, you will collaborate with engineers across departments, guide the platform roadmap, and establish the foundational infrastructure for Auth0's future growth.As a leader, your passion for developing high-performing teams and your ability to coordinate across organizations will make you an ideal fit for this position!Your Responsibilities Include:Leading a diverse, agile software development team focused on delivering value with expertise in distributed systems, cloud infrastructure, and site reliability engineering.Fostering a culture of discovery, learning, and experimentation within a geographically distributed team through continuous coaching and mentoring.Collaborating closely with architects and engineers to design scalable, robust, and extensible services using modern technologies such as Go, Node.js, Kubernetes, Docker, AWS, and Azure.Building and managing data streaming teams utilizing event-driven architecture and Kafka.Partnering with product management and engineering leadership to define a platform roadmap that supports the next generation of identity products, overseeing planning, execution, and delivery of data platform services.Implementing process improvements to drive operational excellence and efficiency during a period of significant growth.

Join our dynamic team at Tiger Analytics as a Data Engineer specializing in Snowflake. In this fully remote role, you will leverage your expertise in data engineering to build and optimize data pipelines, ensuring high performance and reliability in data processing. You'll collaborate with cross-functional teams to deliver data solutions that drive business insights and support data-driven decision-making.