Are you prepared to be part of an elite financial powerhouse, driven by quantitative expertise and a technology-forward approach, with a remarkable $170 billion in assets under management (AUM)? My Client's is committed to developing to cutting-edge financial strategies and groundbreaking technology sets them apart as a leader in the field, while their dedication to greenfield development fuels their drive for continuous innovation.
Join their in Boston, where we redefine the landscape of asset management. They are actively searching for a Principal Data Platforms Engineer of exceptional skill and experience to integrate into their dynamic team. As a Principal Data Platforms Engineer, your role will be pivotal in upholding and extending their data infrastructure. Your expertise will ensure uninterrupted operations and facilitate strategic enhancements, driving us closer to our ambitious goals.
Responsibilities:
- Investigate, design, and implement solutions to enhance our data platforms.
- Automate processes, aligning with our existing infrastructure using tools like PowerShell, Python, and Ansible.
- Provide cross-training to other operations engineers as required.
- Provide technical leadership and mentorship to the data engineering team, guiding them in best practices, architectural decisions, and efficient implementation.
- Architect, design, and develop high-performance and scalable data platforms, ensuring data integrity, security, and reliability.
- Utilize your proficiency in Python to create data processing pipelines, data integration solutions, and automation tools.
- Integrate data platforms with Power BI to provide insightful data visualizations and reports for business stakeholders.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- 3+ years of relevant experience in implementing and managing SQL Server installations.
- Expert-level understanding of disaster recovery, high availability, query performance, indexing, compression, remote queries, and engine functionality.
- Familiarity with data virtualization, specifically Delphix.
- Proficiency in Microsoft technologies such as Windows, Windows Server, Active Directory, and Kerberos Authentication.
- Experience with troubleshooting tools like SQL Sentry or similar diagnostic tools, DMVs, tracing, and extended events.
- Ability to work independently, prioritize competing issues effectively, and bring assigned tasks to resolution or escalate as needed.
- Excellent communication skills, fostering relationships within and across teams, building trust amongst peers through strong job performance.
Plus:
- Experience with AWS, particularly RDS Postgres, Athena, S3, Lambda, and Step Functions.
- Knowledge of GitLab pipelines, Ansible Tower, Terraform, PowerShell, and Python would be advantageous.
Apply your expertise to help my client push the boundaries of data engineering and create innovative solutions in a collaborative and vibrant environment. Don't miss this opportunity to make a real impact with cutting-edge technologies!
