Dropbox
Lead data strategy, architecture, and governance to support company growth and innovation. Collaborate across teams to deliver scalable, efficient data solutions and insights.
Rackspace
Process Engineer I - Execute routine operational process methods and drive process improvement with a customer-centric approach.
Nextech
Quality Assurance Engineer at Nextech: Ensure product quality and functionality through testing and collaboration.
OpenTable
Staff Engineer at OpenTable: Develop scalable web applications using Node.js, React, Redux, Fastify, GraphQL, and TypeScript.
Binance
Senior Automation QA Engineer (Python) needed for integration testing of high-performance backend software stack
HackerRank
Enterprise Account Executive at HackerRank: drive customer engagement, optimize utilization, and shape the company's vision in developer hiring and career growth.
Binance
Senior QA Engineer at Binance: Design & develop test cases, automate testing, collaborate with global teams
Invisible Technologies
Staff SRE Engineer at Invisible Technologies: drive reliability and automation for products, deploy and manage cloud-based infrastructure, and design comprehensive monitoring and observability systems.
Apollo.io
Lead complex engineering solutions at Apollo, mentor team members, and drive impactful projects using MongoDB and ElasticSearch while ensuring scalable and reliable systems.
Ottimate
Lead complex customer projects as Senior Manager of Professional Services at Ottimate (formerly Plate IQ), driving growth, innovation, and customer satisfaction.
CloudWalk
Join CloudWalk's Red Team as an Engineer to execute sophisticated attack simulations, identify vulnerabilities, and enhance our financial platform's security. Utilize your expertise in ethical hacking and penetration testing to protect millions of transactions and sensitive data.
Keboola
Senior Sales Engineer at Keboola, driving revenue growth through technical discovery and product demonstrations.
Keboola
Senior Sales Engineer at Keboola, driving revenue growth through technical discovery and product demonstrations, with a focus on data workflows, APIs, and SaaS architectures.
Automattic
Systems Engineer for high availability, performance & security of Automattic's global infrastructure
CAI
Senior CSV Engineer: Validate computer systems, manage change controls, and analyze test results for regulated businesses.
G-P
Design and deploy AI solutions using advanced techniques in machine learning and natural language processing. Collaborate with teams to address complex business challenges and enhance user satisfaction through robust engineering practices.
Vercel
Drive Vercel's growth in the DACH region by managing sales cycles and fostering customer relationships with a focus on Enterprise SaaS solutions.
Binance
Backend Engineer (Java) at Binance: Design microservices architecture using Java Spring Boot, optimize data storage & retrieval systems, build large-scale software systems.
Binance
Java Engineer for Binance's Payments & Tax Technology team, collaborating on cutting-edge projects and leveraging crypto industry trends.
Taskrabbit
Design and develop Dolly's enterprise data models and transformation pipelines, ensuring alignment with business needs and high-quality data standards.
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.
