The Principal Data Engineer role at Fidelity focuses on building data and reporting platforms in the Cloud using Big Data technologies. The position involves coding in Java, Scala, and Python, and automating CI/CD pipelines. The engineer will collaborate with business teams to gather requirements and develop high-quality data solutions. Additionally, the role includes mentoring junior engineers and advising senior leadership on data infrastructure.

• Bachelor's degree in Applied Computer Science, Engineering, Information Technology, Information Systems, or a closely related field, or a Master's degree in the same fields.
• Five years of experience as a Principal Data Engineer or three years with a Master's degree.
• Experience designing, building, and maintaining data pipelines using Snowflake, Python, and Azure services.
• Demonstrated expertise in creating enterprise data lakes for analytics, AI, and ML capabilities.

• Participate in architecture design teams.
• Define and lead enterprise-level data architecture strategies.
• Develop and implement advanced data engineering frameworks.
• Recommend development testing tools and methodologies.
• Ensure QA readiness of software deliverables.
• Develop comprehensive documentation for multiple applications.
• Establish full project life cycle plans for complex projects.
• Advise on risk assessment and management strategies.
• Plan and coordinate project schedules and assignments.
• Act as a primary liaison for business units to resolve project issues.
• Provide technology solutions to daily issues and technical evaluations.
• Mentor junior engineers and perform complex technical analysis.

• Fidelity offers competitive compensation, annual bonuses, retirement contributions, comprehensive healthcare coverage, parental leave, tuition assistance, wellness programs, and extensive professional development opportunities.