Principal Data Engineer

We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.

What You’ll Own

• Design and build a modern data platform across ingestion, transformation, storage, and consumption
• Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)
• Establish data architecture standards, modeling practices, and engineering frameworks
• Create secure, multi-tenant data environments with strong governance and access controls
• Build data models and serving layers for reporting, self-service analytics, and AI workloads
• Evaluate and implement cloud data technologies for performance, cost, and scalability
• Partner with engineering and business leaders to align data strategy with company priorities
• Guide vendors and external partners while enforcing internal data standards and quality, * Architect and build a next-generation data platform from foundational level
• Direct impact on analytics, product insights, and AI capabilities
• High ownership, visibility, and influence across engineering and leadership
• Opportunity to define standards, tooling, and long-term data strategy

If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front. Requirements Apache Spark, Python, Apache Hadoop, Apache Kafka, ETL - Extract Transform Load, Data Architecture, Snowflake, Data Governance, Data Privacy, Strategic Recommendations, Strategic Roadmaps Technology Doesn’t Change the World, People Do.

• 10+ years of experience in data engineering, including large-scale architecture ownership
• Strong programming skills in Python and experience with tools like Spark, Kafka, or similar
• Expertise building batch and streaming pipelines in cloud environments (AWS preferred)
• Deep knowledge of data modeling for both transactional and analytical systems
• Hands-on experience with Snowflake, Redshift, or modern data platforms
• Strong understanding of data governance, privacy, and secure data design
• Experience with ETL frameworks, testing, and CI/CD-driven data workflows
• Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders

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