Principal Data Engineer - Parametric

About the role

The Principal Data Engineer will serve as a technical lead on new and ongoing development projects, designing, developing, and maintaining services to support various business needs. In this role you will be responsible for guiding and mentoring a team of data engineers helping them to achieve their highest potential while collectively advancing the goals and projects of the engineering team.

Responsibilities

• AI & Automation Integration: Design and implement data pipelines optimized for machine learning, generative AI, and real-time analytics.
• Modern Data Architecture: Build scalable, cloud-native architectures leveraging Data Mesh, Lakehouse, and streaming technologies.
• Data Governance & Ethics: Enforce responsible AI practices, data privacy, and compliance with evolving regulations.
• Performance Optimization: Apply advanced techniques for query optimization, distributed computing, and cost-efficient cloud operations.
• Legacy Modernization: Reimagine legacy systems using containerization, serverless computing, and AI-driven orchestration.
• Collaboration & Leadership: Partner with business and technical stakeholders to align solutions with strategic objectives.
• Documentation & Standards: Maintain technical specifications, runbooks, and architectural diagrams.
• Security & Resilience: Implement zero-trust security models, disaster recovery, and automated failover strategies.
• Continuous Innovation: Evaluate emerging technologies (e.g., AI agents, quantum-ready data frameworks) and integrate where applicable.
• Evaluates and provides feedback on future technologies and new releases/upgrades.
• Contributes to the establishment of business continuity & disaster recovery requirements, methods and procedures for data systems and databases.

Requirements

• 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) cloud stack including S3, IAM, Athena, SNS, SQS, and EMR.
• 6+ years of SQL Server and experience with tools such as SSIS and SSRD.
• Demonstrated success providing both 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 process such as Kanban or Scrum
• Demonstrated experience with object-oriented design, coding and testing patterns as well as experience in engineering (commercial or open source) software platforms and data infrastructures
• Expert knowledge of data modeling and understanding of different data structures and their benefits and limitations under particular use cases
• Ability to collaborate and partner across a diverse team
• Ability to create strong work ethics and committed teams, foster open dialogue, and promote individual and team success

Qualifications

• Financial industry data fluency is preferred but not required