Dropbox
Lead data strategy, architecture, and governance to support company growth and innovation. Collaborate across teams to deliver scalable, efficient data solutions and insights.
Awin Global
QA Engineer at Awin: Collaborate on cutting-edge AI systems with strong interest in AI-driven solutions
Wasabi Technologies
Join Wasabi as a Senior QA Engineer and work on challenging projects like S3 features and cockroach DB. Use your expertise in testing methodologies and automation frameworks to ensure high-quality software delivery.
Binance
Senior QA Engineer for Binance's Singapore team, ensuring product safety and quality through rigorous testing and collaboration.
Rackspace
Join Rackspace's Enterprise New Business sales team and drive complex solution opportunities for corporations with server configurations. Meet monthly sales quota and contribute to team events.
Twilio
Optimize global voice routing operations at Twilio by analyzing routes, troubleshooting issues, and collaborating with teams to improve efficiency and reduce costs. Work on monitoring service quality, developing automation tools, and driving cost savings.
Welocalize
Data Operations Engineer at Welocalize: Develop and maintain robust ETL processes, scalable data pipelines, and reliable data transformations for BI and analytics purposes.
Podium
As a Data Ops Engineer at Podium, you'll ensure data systems are fast, reliable, and scalable while supporting cutting-edge AI projects. You'll work with Elasticsearch, Kafka, RabbitMQ, Redis, and PostgreSQL to optimize performance and automate infrastructure using Terraform and Ansible.
Voodoo
Join Voodoo's Live games team as a Quality Assurance Engineer and contribute to delivering higher engagement on successful games.
saas.group
Manual QA Engineer at Prerender - 100% remote, flexible time off, small team
Remofirst
Manual QA Engineer at Remofirst: Create test plans, perform manual & automated testing, and participate in software development life cycle.
Canonical
Data Center Infrastructure Engineer at Canonical, responsible for operating automated server labs and collaborating with teams to certify hardware for Ubuntu.
DevRev
Apply for Applied AI Engineer at DevRev, develop solutions using TypeScript, JavaScript, Python, and Generative AI technologies, and shape the future of customer-centric companies.
Canonical
Join Canonical's Linux kernel team as a software engineer, working on stable and cutting-edge kernels for Ubuntu and its ecosystem.
Rackspace
QA Engineer Intern at Rackspace Technology: Learn AI testing methodologies & work on projects shaping the future of AI with flexible remote work options
Canonical
Business Systems Engineer with Salesforce experience required for Canonical's EMEA region team
Remofirst
Automation QA Engineer at Remofirst: Collaborate on software development life cycle, create test plans & execute automated testing.
SoundStack
Join SoundStack as a QA Engineer to design, develop, and improve test automation frameworks for server applications and UI. Collaborate with software engineers and product owners to ensure high-quality audio solutions are delivered efficiently. Maintain and create complex test scenarios and work in an inclusive, international team with flexible remote arrangements.
Creatio
QA Automation Engineer for remote-first hybrid model with Protractorsitespeed.io tech stack
Creatio
QA Automation Engineer for computer vision features using tools by Roboflow, remote work options, medical insurance, paid leave
Dropbox
We are seeking a Principal Engineer to shape our data infrastructure and strategy. You will drive the strategic direction of our data platforms, collaborate with cross-functional teams, ensure data reliability and security, and enable data-driven decision-making. This role offers a significant impact on our business platform while working with a talented team.
We are seeking a highly skilled and visionary Principal Engineer to play a central role in shaping the data infrastructure and strategy within our Business Platform organization. As a Data Architect, you will be responsible for driving the strategic direction, development, and optimization of our data platforms. You’ll collaborate with cross-functional stakeholders across engineering, data science, product, marketing, and finance to ensure that data is reliable, secure, and serves as a cornerstone of our company’s decision-making.
Our mission is to deliver the right data with the right controls through best-in-class data management, ensuring data quality, discoverability, and availability across the organization. This involves architecting scalable, efficient data solutions, building schemas, designing and optimizing transformation pipelines, and maintaining data marts and dashboards. Your work will enable teams to derive valuable insights and achieve ambitious business objectives.
As a strategic leader, you’ll align key initiatives with broader organizational goals and communicate priorities effectively across multiple leadership teams. You’ll have the unique opportunity to define the long-term data vision for the organization, influencing how teams across the company leverage data to innovate and excel. By leading through technical excellence, you will ensure that the data ecosystem supports business growth and operational excellence while serving as a trusted partner and technical mentor within the organization.
This role offers the chance to make a profound impact by enabling data-driven decision-making and shaping the future of our business platform while working with a talented and passionate team of engineers.
Develop and execute a data strategy aligned with the company’s objectives, ensuring scalability, security, and performance.
Drive the adoption of best practices in data architecture, engineering, and governance across the organization.
Oversee the development of tools and frameworks for efficient and secure data access, analysis, and processing.
Ensure high availability and reliability of data systems, focusing on real-time, streaming, and batch processing capabilities.
Design and implement the long-term vision and architecture for data and analytics to support growth and multi-product efforts.
Partner with cross-functional teams (Data Science, Engineering, Product, and others) to understand and deliver on their data needs.
Define and design data integrations, data quality frameworks, and evaluate open-source or vendor tools for data lineage.
Establish and manage processes to achieve operational excellence, including defining SLAs for production data sets and processes.
Develop a data aggregation and reporting strategy, including delivering high-impact dashboards, data sets, and visualizations to inform key decisions.
Train and assist users in transforming data into actionable insights, fostering self-sufficiency in data usage.
Define and enforce data governance policies to ensure data quality, security, privacy, and compliance across platforms.
Collaborate with security and compliance teams to manage risks associated with data usage and storage.
Mentor and grow the team, supporting the development of talented data and platform engineers.
Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field
10+ years of experience in data engineering preferably in a tech company
Proven track record in architecting and building large-scale, high-performance data platforms and pipelines in a cloud environment (e.g., AWS).
Strong experience with big data technologies (e.g., Hadoop, Spark, Kafka) and data warehousing solutions (e.g., Databricks).
Solid understanding of data modeling, ETL processes, and real-time data processing.
Expertise in leading enterprise business intelligence tools to support development of automated dashboards
Ability to influence prioritization and execution of high impact data initiatives
Proven ability in regards to managing and communicating data warehouse plans to internal clients.
Excellent verbal and written communication skills
Translate business requirements into technical requirements and vice versa.
