Principal Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and enhance scalable data pipelines for both structured and unstructured data.

• Execute dependable ETL/ELT processes to transfer data into warehouses and data lakes.

• Create and uphold enterprise data models, integration frameworks, storage solutions, and architectural patterns across cloud, on-premises, and hybrid environments.

• Establish and maintain data solution architecture and governance frameworks that align with business objectives.

• Provide technical leadership through architecture reviews, solution validation, performance tuning, deployment strategies, and resolving complex issues.

• Set up architecture principles, engineering standards, and best practices across development teams.

• Implement practices for data quality, lineage, metadata management, backup, accessibility, security, and governance.

• Collaborate with security and compliance teams on controls and regulatory requirements.

• Work with business stakeholders, data scientists, analysts, BI teams, and IT partners to convert needs into technical designs.

• Clean, transform, and organize raw data into formats suitable for use.

• Develop analytical tools and programs that support analysis, reporting, and decision-making.

• Assess and enhance data systems for performance, reliability, speed, and maintainability.

• Review emerging technologies and recommend solutions that balance business value, security, compliance, and operational risk.

• Foster cross-functional relationships and articulate complex technical concepts to both technical and non-technical audiences.

• Adjust technical strategies and priorities as technologies and business demands change.

⛳️ Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field –or– equivalent experience.

• Over 10 years of experience in data engineering.

• Expertise in creating scalable data solutions using microservices, event-driven architecture, and API-first design.

• Proficiency in ETL/ELT tools, data warehousing, big data technologies, and database systems.

• Strong skills in SQL and Python.

• In-depth knowledge of enterprise data architecture, data modeling, integration frameworks, and data governance practices.

• Experience with Azure, AWS, or GCP as well as Snowflake or Databricks.

• Proven experience in designing and supporting solutions across cloud, on-premises, or hybrid environments.

• Familiarity with GDPR, HIPAA, and SOX compliance standards.

• Capability to lead architecture reviews and offer technical direction without direct authority.

• Experience in performance tuning and optimization.

• Strong written and verbal communication skills for engaging with both technical and non-technical stakeholders.

• Demonstrated success in delivering secure, scalable, and reliable enterprise data solutions.

• Experience in driving standardization and governance across diverse systems, teams, and global environments.

• Ability to assess trade-offs between innovation, compliance, security, cost, and sustainability.

• Strong collaboration and influencing abilities across IT, BI, analytics, security, compliance, and business teams.

• Capacity to make informed, timely decisions in ambiguous or evolving technical environments.

• Intellectual curiosity paired with a practical approach to emerging technologies.

• Adaptability to change while maintaining a focus on delivery.

🏝️ Benefits

• Annual performance bonus.

• Medical benefits.

• Dental benefits.

• Vision benefits.

• 401K match.