The Principal Data Engineer at Parametric will serve as a technical lead on various development projects, focusing on designing, developing, and maintaining data services to meet business needs. This role involves guiding and mentoring a team of data engineers to achieve their highest potential while advancing the engineering team's goals. The position requires expertise in SQL and the ability to document technical ideas and proposals effectively. The Data Engineering team ensures scalable and secure data pipelines that adhere to quality standards.

• Bachelor's in Computer Science, Mathematics, or Engineering or equivalent work experience
• 10+ years of data engineering, data science, or software engineering experience
• 3+ years of experience with Snowflake
• 4+ years of experience in AWS or similar cloud technologies including S3, IAM, Athena, SNS, SQS, and EMR
• 6+ years of SQL Server experience with tools such as SSIS and SSRS
• Demonstrated success providing expert technical guidance and team leadership
• Capability of architecting highly scalable distributed systems using different open-source tools
• Highly skilled in leading teams using Agile development processes such as Kanban or Scrum
• Demonstrated experience with object-oriented design, coding, and testing patterns
• Expert knowledge of data modeling and understanding of different data structures
• Ability to collaborate and partner across a diverse team
• Ability to create strong work ethics and committed teams

• Design and implement data pipelines optimized for machine learning, generative AI, and real-time analytics
• Build scalable, cloud-native architectures leveraging Data Mesh, Lakehouse, and streaming technologies
• Enforce responsible AI practices, data privacy, and compliance with evolving regulations
• Apply advanced techniques for query optimization, distributed computing, and cost-efficient cloud operations
• Reimagine legacy systems using containerization, serverless computing, and AI-driven orchestration
• Partner with business and technical stakeholders to align solutions with strategic objectives
• Maintain technical specifications, runbooks, and architectural diagrams
• Implement zero-trust security models, disaster recovery, and automated failover strategies
• Evaluate emerging technologies and integrate them where applicable
• Contribute to the establishment of business continuity and disaster recovery requirements for data systems

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.