Principal Engineer - Data Architect - Remote

Overview

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.

In Short

• 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.

Requirements

• 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.

Benefits

• Opportunity to make a profound impact by enabling data-driven decision-making.
• Work with a talented and passionate team of engineers.
• Define the long-term data vision for the organization.
• Influence how teams leverage data to innovate and excel.
• Serve as a trusted partner and technical mentor within the organization.