Lead Data Engineer (Banking) at ITTConnect
Lead Data Engineer (Banking)
ITTConnect
Miami, FLsenior2 weeks ago
Full Timehybrid1-3Years
$168,063/year
Job Description
The Lead Data Engineer plays a crucial role in transforming business requirements within the banking sector into robust and efficient data pipelines. This position is essential for ensuring that data is secure, observable, and well-documented, ultimately supporting the strategic objectives of the organization. In this hybrid role, the Lead Data Engineer will engage with various financial institutions and coordinate with consultants to develop high-quality data pipelines. The day-to-day responsibilities include overseeing observability practices, maintaining engineering standards, engaging with stakeholders for requirements gathering, and driving technical leadership within the data engineering team. The successful candidate will be part of a dynamic team that values collaboration and innovation, with ample opportunities for professional growth and development in the data engineering field. You will be encouraged to mentor junior engineers and contribute to strategic initiatives. This role is unique as it combines technical expertise with strategic influence, allowing the Lead Data Engineer to make a significant impact on the data landscape of a leading financial institution.
Responsibilities
Design secure and observable data pipelines to meet business and domain needs. Build reusable data solutions that adhere to engineering standards in banking. Lead technical initiatives while coordinating with consultants and stakeholders effectively. Architect scalable data infrastructure for improved performance and reliability. Drive documentation processes to ensure clarity and compliance in engineering practices. Engage with stakeholders to align data engineering efforts with organizational goals.
Key Skills
Data Pipelines
16%
Data Engineering
16%
Data Infrastructure
16%
Documentation
10%
Observability
10%
Benefits
Competitive compensation packages with comprehensive health benefits for employees. Access to wellness programs and health resources to promote employee well-being. Flexible hybrid work arrangements to support work-life balance and personal needs. Generous paid time off policies to encourage rest and recharge. Opportunities for professional development and continuous learning in data engineering. Support for attending industry conferences and pursuing relevant certifications. Inclusive workplace culture that values diversity and collaboration among teams. Fun team-building activities and social events to foster a positive work environment.
